<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.9.1"/>
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<title>Eigen: ProductEvaluators.h Source File</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtreedata.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
  $(document).ready(function() { init_search(); });
/* @license-end */
</script>
<script type="text/x-mathjax-config">
  MathJax.Hub.Config({
    extensions: ["tex2jax.js", "TeX/AMSmath.js", "TeX/AMSsymbols.js"],
    jax: ["input/TeX","output/HTML-CSS"],
});
</script>
<script type="text/javascript" async="async" src="https://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
<link href="eigendoxy.css" rel="stylesheet" type="text/css">
<!--  -->
<script type="text/javascript" src="eigen_navtree_hacks.js"></script>
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
 <tbody>
 <tr style="height: 56px;">
  <td id="projectlogo"><img alt="Logo" src="Eigen_Silly_Professor_64x64.png"/></td>
  <td id="projectalign" style="padding-left: 0.5em;">
   <div id="projectname"><a href="http://eigen.tuxfamily.org">Eigen</a>
   &#160;<span id="projectnumber">3.4.90 (git rev 67eeba6e720c5745abc77ae6c92ce0a44aa7b7ae)</span>
   </div>
  </td>
   <td>        <div id="MSearchBox" class="MSearchBoxInactive">
        <span class="left">
          <img id="MSearchSelect" src="search/mag_sel.svg"
               onmouseover="return searchBox.OnSearchSelectShow()"
               onmouseout="return searchBox.OnSearchSelectHide()"
               alt=""/>
          <input type="text" id="MSearchField" value="Search" accesskey="S"
               onfocus="searchBox.OnSearchFieldFocus(true)" 
               onblur="searchBox.OnSearchFieldFocus(false)" 
               onkeyup="searchBox.OnSearchFieldChange(event)"/>
          </span><span class="right">
            <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.svg" alt=""/></a>
          </span>
        </div>
</td>
 </tr>
 </tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.9.1 -->
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
var searchBox = new SearchBox("searchBox", "search",false,'Search','.html');
/* @license-end */
</script>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
  <div id="nav-tree">
    <div id="nav-tree-contents">
      <div id="nav-sync" class="sync"></div>
    </div>
  </div>
  <div id="splitbar" style="-moz-user-select:none;" 
       class="ui-resizable-handle">
  </div>
</div>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(document).ready(function(){initNavTree('ProductEvaluators_8h_source.html',''); initResizable(); });
/* @license-end */
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
     onmouseover="return searchBox.OnSearchSelectShow()"
     onmouseout="return searchBox.OnSearchSelectHide()"
     onkeydown="return searchBox.OnSearchSelectKey(event)">
</div>

<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0" 
        name="MSearchResults" id="MSearchResults">
</iframe>
</div>

<div class="header">
  <div class="headertitle">
<div class="title">ProductEvaluators.h</div>  </div>
</div><!--header-->
<div class="contents">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// Copyright (C) 2006-2008 Benoit Jacob &lt;jacob.benoit.1@gmail.com&gt;</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">// Copyright (C) 2008-2010 Gael Guennebaud &lt;gael.guennebaud@inria.fr&gt;</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment">// Copyright (C) 2011 Jitse Niesen &lt;jitse@maths.leeds.ac.uk&gt;</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160; </div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#ifndef EIGEN_PRODUCTEVALUATORS_H</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#define EIGEN_PRODUCTEVALUATORS_H</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160; </div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &quot;./InternalHeaderCheck.h&quot;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160; </div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceEigen.html">Eigen</a> {</div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160; </div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160; </div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> Options&gt;</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="keyword">struct </span>evaluator&lt;Product&lt;Lhs, Rhs, Options&gt; &gt;</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160; : <span class="keyword">public</span> product_evaluator&lt;Product&lt;Lhs, Rhs, Options&gt; &gt;</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;{</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;  <span class="keyword">typedef</span> Product&lt;Lhs, Rhs, Options&gt; XprType;</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;  <span class="keyword">typedef</span> product_evaluator&lt;XprType&gt; Base;</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160; </div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">explicit</span> evaluator(<span class="keyword">const</span> XprType&amp; xpr) : Base(xpr) {}</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;};</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160; </div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="comment">// Catch &quot;scalar * ( A * B )&quot; and transform it to &quot;(A*scalar) * B&quot;</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="comment">// TODO we should apply that rule only if that&#39;s really helpful</span></div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Scalar1, <span class="keyword">typename</span> Scalar2, <span class="keyword">typename</span> Plain1&gt;</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="keyword">struct </span>evaluator_assume_aliasing&lt;CwiseBinaryOp&lt;internal::scalar_product_op&lt;Scalar1,Scalar2&gt;,</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;                                               const CwiseNullaryOp&lt;internal::scalar_constant_op&lt;Scalar1&gt;, Plain1&gt;,</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;                                               const Product&lt;Lhs, Rhs, DefaultProduct&gt; &gt; &gt;</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;{</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> value = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;};</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Scalar1, <span class="keyword">typename</span> Scalar2, <span class="keyword">typename</span> Plain1&gt;</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="keyword">struct </span>evaluator&lt;CwiseBinaryOp&lt;internal::scalar_product_op&lt;Scalar1,Scalar2&gt;,</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;                               const CwiseNullaryOp&lt;internal::scalar_constant_op&lt;Scalar1&gt;, Plain1&gt;,</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;                               const Product&lt;Lhs, Rhs, DefaultProduct&gt; &gt; &gt;</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160; : <span class="keyword">public</span> evaluator&lt;Product&lt;EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar1,Lhs,product), Rhs, DefaultProduct&gt; &gt;</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;{</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;  <span class="keyword">typedef</span> CwiseBinaryOp&lt;internal::scalar_product_op&lt;Scalar1,Scalar2&gt;,</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                               <span class="keyword">const</span> CwiseNullaryOp&lt;internal::scalar_constant_op&lt;Scalar1&gt;, Plain1&gt;,</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                               <span class="keyword">const</span> Product&lt;Lhs, Rhs, DefaultProduct&gt; &gt; XprType;</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;  <span class="keyword">typedef</span> evaluator&lt;Product&lt;EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar1,Lhs,product), Rhs, DefaultProduct&gt; &gt; Base;</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160; </div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">explicit</span> evaluator(<span class="keyword">const</span> XprType&amp; xpr)</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    : Base(xpr.lhs().functor().m_other * xpr.rhs().lhs() * xpr.rhs().rhs())</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;  {}</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;};</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160; </div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160; </div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> DiagIndex&gt;</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="keyword">struct </span>evaluator&lt;Diagonal&lt;const Product&lt;Lhs, Rhs, DefaultProduct&gt;, DiagIndex&gt; &gt;</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160; : <span class="keyword">public</span> evaluator&lt;Diagonal&lt;const Product&lt;Lhs, Rhs, LazyProduct&gt;, DiagIndex&gt; &gt;</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;{</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;  <span class="keyword">typedef</span> Diagonal&lt;const Product&lt;Lhs, Rhs, DefaultProduct&gt;, DiagIndex&gt; XprType;</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;  <span class="keyword">typedef</span> evaluator&lt;Diagonal&lt;const Product&lt;Lhs, Rhs, LazyProduct&gt;, DiagIndex&gt; &gt; Base;</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160; </div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">explicit</span> evaluator(<span class="keyword">const</span> XprType&amp; xpr)</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    : Base(Diagonal&lt;const Product&lt;Lhs, Rhs, LazyProduct&gt;, DiagIndex&gt;(</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        Product&lt;Lhs, Rhs, LazyProduct&gt;(xpr.nestedExpression().lhs(), xpr.nestedExpression().rhs()),</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        xpr.index() ))</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;  {}</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;};</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160; </div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160; </div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="comment">// Helper class to perform a matrix product with the destination at hand.</span></div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="comment">// Depending on the sizes of the factors, there are different evaluation strategies</span></div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="comment">// as controlled by internal::product_type.</span></div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="keyword">template</span>&lt; <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs,</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;          <span class="keyword">typename</span> LhsShape = <span class="keyword">typename</span> evaluator_traits&lt;Lhs&gt;::Shape,</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;          <span class="keyword">typename</span> RhsShape = <span class="keyword">typename</span> evaluator_traits&lt;Rhs&gt;::Shape,</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;          <span class="keywordtype">int</span> ProductType = internal::product_type&lt;Lhs,Rhs&gt;::value&gt;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="keyword">struct </span>generic_product_impl;</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160; </div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs&gt;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="keyword">struct </span>evaluator_assume_aliasing&lt;Product&lt;Lhs, Rhs, DefaultProduct&gt; &gt; {</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> value = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;};</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160; </div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;<span class="comment">// This is the default evaluator implementation for products:</span></div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="comment">// It creates a temporary and call generic_product_impl</span></div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> Options, <span class="keywordtype">int</span> ProductTag, <span class="keyword">typename</span> LhsShape, <span class="keyword">typename</span> RhsShape&gt;</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;<span class="keyword">struct </span>product_evaluator&lt;Product&lt;Lhs, Rhs, Options&gt;, ProductTag, LhsShape, RhsShape&gt;</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;  : <span class="keyword">public</span> evaluator&lt;typename Product&lt;Lhs, Rhs, Options&gt;::PlainObject&gt;</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;{</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keyword">typedef</span> Product&lt;Lhs, Rhs, Options&gt; XprType;</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::PlainObject PlainObject;</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;  <span class="keyword">typedef</span> evaluator&lt;PlainObject&gt; Base;</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    Flags = Base::Flags | <a class="code" href="group__flags.html#gaa34e83bae46a8eeae4e69ebe3aaecbed">EvalBeforeNestingBit</a></div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;  };</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160; </div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;  <span class="keyword">explicit</span> product_evaluator(<span class="keyword">const</span> XprType&amp; xpr)</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    : m_result(xpr.rows(), xpr.cols())</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  {</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    internal::construct_at&lt;Base&gt;(<span class="keyword">this</span>, m_result);</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160; </div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;<span class="comment">// FIXME shall we handle nested_eval here?,</span></div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;<span class="comment">// if so, then we must take care at removing the call to nested_eval in the specializations (e.g., in permutation_matrix_product, transposition_matrix_product, etc.)</span></div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;<span class="comment">//     typedef typename internal::nested_eval&lt;Lhs,Rhs::ColsAtCompileTime&gt;::type LhsNested;</span></div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;<span class="comment">//     typedef typename internal::nested_eval&lt;Rhs,Lhs::RowsAtCompileTime&gt;::type RhsNested;</span></div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;<span class="comment">//     typedef internal::remove_all_t&lt;LhsNested&gt; LhsNestedCleaned;</span></div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;<span class="comment">//     typedef internal::remove_all_t&lt;RhsNested&gt; RhsNestedCleaned;</span></div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;<span class="comment">//     const LhsNested lhs(xpr.lhs());</span></div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;<span class="comment">//     const RhsNested rhs(xpr.rhs());</span></div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;<span class="comment">//     generic_product_impl&lt;LhsNestedCleaned, RhsNestedCleaned&gt;::evalTo(m_result, lhs, rhs);</span></div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160; </div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    generic_product_impl&lt;Lhs, Rhs, LhsShape, RhsShape, ProductTag&gt;::evalTo(m_result, xpr.lhs(), xpr.rhs());</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;  }</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160; </div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;<span class="keyword">protected</span>:</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;  PlainObject m_result;</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;};</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160; </div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;<span class="comment">// The following three shortcuts are enabled only if the scalar types match exactly.</span></div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;<span class="comment">// TODO: we could enable them for different scalar types when the product is not vectorized.</span></div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160; </div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;<span class="comment">// Dense = Product</span></div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;<span class="keyword">template</span>&lt; <span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> Options, <span class="keyword">typename</span> Scalar&gt;</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;<span class="keyword">struct </span>Assignment&lt;DstXprType, Product&lt;Lhs,Rhs,Options&gt;, internal::assign_op&lt;Scalar,Scalar&gt;, Dense2Dense,</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;  std::enable_if_t&lt;(Options==DefaultProduct || Options==AliasFreeProduct)&gt;&gt;</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;{</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;  <span class="keyword">typedef</span> Product&lt;Lhs,Rhs,Options&gt; SrcXprType;</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;  <span class="keywordtype">void</span> run(DstXprType &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> internal::assign_op&lt;Scalar,Scalar&gt; &amp;)</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;  {</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> dstRows = src.rows();</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> dstCols = src.cols();</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    <span class="keywordflow">if</span>((dst.rows()!=dstRows) || (dst.cols()!=dstCols))</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;      dst.resize(dstRows, dstCols);</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="comment">// FIXME shall we handle nested_eval here?</span></div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    generic_product_impl&lt;Lhs, Rhs&gt;::evalTo(dst, src.lhs(), src.rhs());</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  }</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;};</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160; </div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;<span class="comment">// Dense += Product</span></div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;<span class="keyword">template</span>&lt; <span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> Options, <span class="keyword">typename</span> Scalar&gt;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;<span class="keyword">struct </span>Assignment&lt;DstXprType, Product&lt;Lhs,Rhs,Options&gt;, internal::add_assign_op&lt;Scalar,Scalar&gt;, Dense2Dense,</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;  std::enable_if_t&lt;(Options==DefaultProduct || Options==AliasFreeProduct)&gt;&gt;</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;{</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;  <span class="keyword">typedef</span> Product&lt;Lhs,Rhs,Options&gt; SrcXprType;</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;  <span class="keywordtype">void</span> run(DstXprType &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> internal::add_assign_op&lt;Scalar,Scalar&gt; &amp;)</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;  {</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    eigen_assert(dst.rows() == src.rows() &amp;&amp; dst.cols() == src.cols());</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <span class="comment">// FIXME shall we handle nested_eval here?</span></div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    generic_product_impl&lt;Lhs, Rhs&gt;::addTo(dst, src.lhs(), src.rhs());</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;  }</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;};</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160; </div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;<span class="comment">// Dense -= Product</span></div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;<span class="keyword">template</span>&lt; <span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> Options, <span class="keyword">typename</span> Scalar&gt;</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;<span class="keyword">struct </span>Assignment&lt;DstXprType, Product&lt;Lhs,Rhs,Options&gt;, internal::sub_assign_op&lt;Scalar,Scalar&gt;, Dense2Dense,</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;  std::enable_if_t&lt;(Options==DefaultProduct || Options==AliasFreeProduct)&gt;&gt;</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;{</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  <span class="keyword">typedef</span> Product&lt;Lhs,Rhs,Options&gt; SrcXprType;</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;  <span class="keywordtype">void</span> run(DstXprType &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> internal::sub_assign_op&lt;Scalar,Scalar&gt; &amp;)</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;  {</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    eigen_assert(dst.rows() == src.rows() &amp;&amp; dst.cols() == src.cols());</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <span class="comment">// FIXME shall we handle nested_eval here?</span></div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    generic_product_impl&lt;Lhs, Rhs&gt;::subTo(dst, src.lhs(), src.rhs());</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;  }</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;};</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160; </div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160; </div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;<span class="comment">// Dense ?= scalar * Product</span></div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;<span class="comment">// TODO we should apply that rule if that&#39;s really helpful</span></div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;<span class="comment">// for instance, this is not good for inner products</span></div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;<span class="keyword">template</span>&lt; <span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> AssignFunc, <span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> ScalarBis, <span class="keyword">typename</span> Plain&gt;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;<span class="keyword">struct </span>Assignment&lt;DstXprType, CwiseBinaryOp&lt;internal::scalar_product_op&lt;ScalarBis,Scalar&gt;, const CwiseNullaryOp&lt;internal::scalar_constant_op&lt;ScalarBis&gt;,Plain&gt;,</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;                                           const Product&lt;Lhs,Rhs,DefaultProduct&gt; &gt;, AssignFunc, Dense2Dense&gt;</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;{</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;  <span class="keyword">typedef</span> CwiseBinaryOp&lt;internal::scalar_product_op&lt;ScalarBis,Scalar&gt;,</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;                        <span class="keyword">const</span> CwiseNullaryOp&lt;internal::scalar_constant_op&lt;ScalarBis&gt;,Plain&gt;,</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;                        <span class="keyword">const</span> Product&lt;Lhs,Rhs,DefaultProduct&gt; &gt; SrcXprType;</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;  <span class="keywordtype">void</span> run(DstXprType &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> AssignFunc&amp; func)</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;  {</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    call_assignment_no_alias(dst, (src.lhs().functor().m_other * src.rhs().lhs())*src.rhs().rhs(), func);</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;  }</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;};</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160; </div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;<span class="comment">//----------------------------------------</span></div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;<span class="comment">// Catch &quot;Dense ?= xpr + Product&lt;&gt;&quot; expression to save one temporary</span></div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;<span class="comment">// FIXME we could probably enable these rules for any product, i.e., not only Dense and DefaultProduct</span></div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160; </div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherXpr, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs&gt;</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;<span class="keyword">struct </span>evaluator_assume_aliasing&lt;CwiseBinaryOp&lt;internal::scalar_sum_op&lt;typename OtherXpr::Scalar,typename Product&lt;Lhs,Rhs,DefaultProduct&gt;::Scalar&gt;, const OtherXpr,</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;                                               const Product&lt;Lhs,Rhs,DefaultProduct&gt; &gt;, DenseShape &gt; {</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> value = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;};</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160; </div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherXpr, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs&gt;</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;<span class="keyword">struct </span>evaluator_assume_aliasing&lt;CwiseBinaryOp&lt;internal::scalar_difference_op&lt;typename OtherXpr::Scalar,typename Product&lt;Lhs,Rhs,DefaultProduct&gt;::Scalar&gt;, const OtherXpr,</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;                                               const Product&lt;Lhs,Rhs,DefaultProduct&gt; &gt;, DenseShape &gt; {</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> value = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;};</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160; </div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> OtherXpr, <span class="keyword">typename</span> ProductType, <span class="keyword">typename</span> Func1, <span class="keyword">typename</span> Func2&gt;</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;<span class="keyword">struct </span>assignment_from_xpr_op_product</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;{</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> SrcXprType, <span class="keyword">typename</span> InitialFunc&gt;</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;  <span class="keywordtype">void</span> run(DstXprType &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> InitialFunc&amp; <span class="comment">/*func*/</span>)</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;  {</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    call_assignment_no_alias(dst, src.lhs(), Func1());</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    call_assignment_no_alias(dst, src.rhs(), Func2());</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;  }</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;};</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160; </div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;<span class="preprocessor">#define EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(ASSIGN_OP,BINOP,ASSIGN_OP2) \</span></div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;<span class="preprocessor">  template&lt; typename DstXprType, typename OtherXpr, typename Lhs, typename Rhs, typename DstScalar, typename SrcScalar, typename OtherScalar,typename ProdScalar&gt; \</span></div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;<span class="preprocessor">  struct Assignment&lt;DstXprType, CwiseBinaryOp&lt;internal::BINOP&lt;OtherScalar,ProdScalar&gt;, const OtherXpr, \</span></div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;<span class="preprocessor">                                            const Product&lt;Lhs,Rhs,DefaultProduct&gt; &gt;, internal::ASSIGN_OP&lt;DstScalar,SrcScalar&gt;, Dense2Dense&gt; \</span></div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;<span class="preprocessor">    : assignment_from_xpr_op_product&lt;DstXprType, OtherXpr, Product&lt;Lhs,Rhs,DefaultProduct&gt;, internal::ASSIGN_OP&lt;DstScalar,OtherScalar&gt;, internal::ASSIGN_OP2&lt;DstScalar,ProdScalar&gt; &gt; \</span></div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;<span class="preprocessor">  {}</span></div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160; </div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(assign_op,    scalar_sum_op,add_assign_op);</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(add_assign_op,scalar_sum_op,add_assign_op);</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(sub_assign_op,scalar_sum_op,sub_assign_op);</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160; </div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(assign_op,    scalar_difference_op,sub_assign_op);</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(add_assign_op,scalar_difference_op,sub_assign_op);</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(sub_assign_op,scalar_difference_op,add_assign_op);</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160; </div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;<span class="comment">//----------------------------------------</span></div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160; </div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs&gt;</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs,Rhs,DenseShape,DenseShape,InnerProduct&gt;</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;{</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;  {</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;  }</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160; </div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> addTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;  {</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;    dst.coeffRef(0,0) += (lhs.transpose().cwiseProduct(rhs)).sum();</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;  }</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160; </div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> subTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;  { dst.coeffRef(0,0) -= (lhs.transpose().cwiseProduct(rhs)).sum(); }</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;};</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160; </div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160; </div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;<span class="comment">/***********************************************************************</span></div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;<span class="comment">*  Implementation of outer dense * dense vector product</span></div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;<span class="comment">***********************************************************************/</span></div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160; </div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;<span class="comment">// Column major result</span></div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Func&gt;</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;<span class="keywordtype">void</span> EIGEN_DEVICE_FUNC outer_product_selector_run(Dst&amp; dst, <span class="keyword">const</span> Lhs &amp;lhs, <span class="keyword">const</span> Rhs &amp;rhs, <span class="keyword">const</span> Func&amp; func, <span class="keyword">const</span> false_type&amp;)</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;{</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;  evaluator&lt;Rhs&gt; rhsEval(rhs);</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;  ei_declare_local_nested_eval(Lhs,lhs,Rhs::SizeAtCompileTime,actual_lhs);</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;  <span class="comment">// FIXME if cols is large enough, then it might be useful to make sure that lhs is sequentially stored</span></div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;  <span class="comment">// FIXME not very good if rhs is real and lhs complex while alpha is real too</span></div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;  <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> cols = dst.cols();</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;  <span class="keywordflow">for</span> (<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j=0; j&lt;cols; ++j)</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    func(dst.col(j), rhsEval.coeff(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(0),j) * actual_lhs);</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;}</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160; </div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;<span class="comment">// Row major result</span></div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Func&gt;</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;<span class="keywordtype">void</span> EIGEN_DEVICE_FUNC outer_product_selector_run(Dst&amp; dst, <span class="keyword">const</span> Lhs &amp;lhs, <span class="keyword">const</span> Rhs &amp;rhs, <span class="keyword">const</span> Func&amp; func, <span class="keyword">const</span> true_type&amp;)</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;{</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;  evaluator&lt;Lhs&gt; lhsEval(lhs);</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;  ei_declare_local_nested_eval(Rhs,rhs,Lhs::SizeAtCompileTime,actual_rhs);</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;  <span class="comment">// FIXME if rows is large enough, then it might be useful to make sure that rhs is sequentially stored</span></div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;  <span class="comment">// FIXME not very good if lhs is real and rhs complex while alpha is real too</span></div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;  <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> rows = dst.rows();</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;  <span class="keywordflow">for</span> (<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i=0; i&lt;rows; ++i)</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    func(dst.row(i), lhsEval.coeff(i,<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(0)) * actual_rhs);</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;}</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160; </div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs&gt;</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs,Rhs,DenseShape,DenseShape,OuterProduct&gt;</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;{</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt; <span class="keyword">struct </span>is_row_major : std::conditional_t&lt;(int(T::Flags)&amp;RowMajorBit), internal::true_type, internal::false_type&gt; {};</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Product&lt;Lhs,Rhs&gt;::Scalar Scalar;</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160; </div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;  <span class="comment">// TODO it would be nice to be able to exploit our *_assign_op functors for that purpose</span></div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;  <span class="keyword">struct </span>set  { <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> Src&gt; EIGEN_DEVICE_FUNC <span class="keywordtype">void</span> operator()(<span class="keyword">const</span> Dst&amp; dst, <span class="keyword">const</span> Src&amp; src)<span class="keyword"> const </span>{ dst.const_cast_derived()  = src; } };</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;  <span class="keyword">struct </span>add  { <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> Src&gt; EIGEN_DEVICE_FUNC <span class="keywordtype">void</span> operator()(<span class="keyword">const</span> Dst&amp; dst, <span class="keyword">const</span> Src&amp; src)<span class="keyword"> const </span>{ dst.const_cast_derived() += src; } };</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;  <span class="keyword">struct </span>sub  { <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> Src&gt; EIGEN_DEVICE_FUNC <span class="keywordtype">void</span> operator()(<span class="keyword">const</span> Dst&amp; dst, <span class="keyword">const</span> Src&amp; src)<span class="keyword"> const </span>{ dst.const_cast_derived() -= src; } };</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;  <span class="keyword">struct </span>adds {</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;    Scalar m_scale;</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;    <span class="keyword">explicit</span> adds(<span class="keyword">const</span> Scalar&amp; s) : m_scale(s) {}</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> Src&gt; <span class="keywordtype">void</span> EIGEN_DEVICE_FUNC operator()(<span class="keyword">const</span> Dst&amp; dst, <span class="keyword">const</span> Src&amp; src)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;      dst.const_cast_derived() += m_scale * src;</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;    }</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;  };</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160; </div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;  {</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;    internal::outer_product_selector_run(dst, lhs, rhs, set(), is_row_major&lt;Dst&gt;());</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;  }</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160; </div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> addTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;  {</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;    internal::outer_product_selector_run(dst, lhs, rhs, add(), is_row_major&lt;Dst&gt;());</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;  }</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160; </div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> subTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;  {</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major&lt;Dst&gt;());</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;  }</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160; </div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> scaleAndAddTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <span class="keyword">const</span> Scalar&amp; alpha)</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;  {</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    internal::outer_product_selector_run(dst, lhs, rhs, adds(alpha), is_row_major&lt;Dst&gt;());</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;  }</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160; </div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;};</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160; </div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160; </div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;<span class="comment">// This base class provides default implementations for evalTo, addTo, subTo, in terms of scaleAndAddTo</span></div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;<span class="keyword">struct </span>generic_product_impl_base</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;{</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Product&lt;Lhs,Rhs&gt;::Scalar Scalar;</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160; </div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;  { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160; </div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> addTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;  { scaleAndAddTo(dst,lhs, rhs, Scalar(1)); }</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160; </div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> subTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;  { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160; </div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> scaleAndAddTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <span class="keyword">const</span> Scalar&amp; alpha)</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;  { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160; </div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;};</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160; </div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs&gt;</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs,Rhs,DenseShape,DenseShape,GemvProduct&gt;</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;  : generic_product_impl_base&lt;Lhs,Rhs,generic_product_impl&lt;Lhs,Rhs,DenseShape,DenseShape,GemvProduct&gt; &gt;</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;{</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> nested_eval&lt;Lhs,1&gt;::type LhsNested;</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> nested_eval&lt;Rhs,1&gt;::type RhsNested;</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Product&lt;Lhs,Rhs&gt;::Scalar Scalar;</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;  <span class="keyword">enum</span> { Side = Lhs::IsVectorAtCompileTime ? <a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba21b30a61e9cb10c967aec17567804007">OnTheLeft</a> : <a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba329fc3a54ceb2b6e0e73b400998b8a82">OnTheRight</a> };</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;  <span class="keyword">typedef</span> internal::remove_all_t&lt;std::conditional_t&lt;int(Side)==<a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba329fc3a54ceb2b6e0e73b400998b8a82">OnTheRight</a>,LhsNested,RhsNested&gt;&gt; MatrixType;</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160; </div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> scaleAndAddTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <span class="keyword">const</span> Scalar&amp; alpha)</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;  {</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;    <span class="comment">// Fallback to inner product if both the lhs and rhs is a runtime vector.</span></div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;    <span class="keywordflow">if</span> (lhs.rows() == 1 &amp;&amp; rhs.cols() == 1) {</div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;      dst.coeffRef(0,0) += alpha * lhs.row(0).conjugate().dot(rhs.col(0));</div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;      <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;    }</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;    LhsNested actual_lhs(lhs);</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;    RhsNested actual_rhs(rhs);</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;    internal::gemv_dense_selector&lt;Side,</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;                            (int(MatrixType::Flags)&amp;<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>) ? <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a> : <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>,</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;                            <span class="keywordtype">bool</span>(internal::blas_traits&lt;MatrixType&gt;::HasUsableDirectAccess)</div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;                           &gt;::run(actual_lhs, actual_rhs, dst, alpha);</div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;  }</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;};</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160; </div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs&gt;</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs,Rhs,DenseShape,DenseShape,CoeffBasedProductMode&gt;</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;{</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Product&lt;Lhs,Rhs&gt;::Scalar Scalar;</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160; </div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;  {</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;    <span class="comment">// Same as: dst.noalias() = lhs.lazyProduct(rhs);</span></div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;    <span class="comment">// but easier on the compiler side</span></div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;    call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::assign_op&lt;typename Dst::Scalar,Scalar&gt;());</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;  }</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160; </div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> addTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;  {</div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;    <span class="comment">// dst.noalias() += lhs.lazyProduct(rhs);</span></div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;    call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::add_assign_op&lt;typename Dst::Scalar,Scalar&gt;());</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;  }</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160; </div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst&gt;</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> subTo(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;  {</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;    <span class="comment">// dst.noalias() -= lhs.lazyProduct(rhs);</span></div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;    call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::sub_assign_op&lt;typename Dst::Scalar,Scalar&gt;());</div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;  }</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160; </div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;  <span class="comment">// This is a special evaluation path called from generic_product_impl&lt;...,GemmProduct&gt; in file GeneralMatrixMatrix.h</span></div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;  <span class="comment">// This variant tries to extract scalar multiples from both the LHS and RHS and factor them out. For instance:</span></div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;  <span class="comment">//   dst {,+,-}= (s1*A)*(B*s2)</span></div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;  <span class="comment">// will be rewritten as:</span></div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;  <span class="comment">//   dst {,+,-}= (s1*s2) * (A.lazyProduct(B))</span></div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;  <span class="comment">// There are at least four benefits of doing so:</span></div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;  <span class="comment">//  1 - huge performance gain for heap-allocated matrix types as it save costly allocations.</span></div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;  <span class="comment">//  2 - it is faster than simply by-passing the heap allocation through stack allocation.</span></div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;  <span class="comment">//  3 - it makes this fallback consistent with the heavy GEMM routine.</span></div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;  <span class="comment">//  4 - it fully by-passes huge stack allocation attempts when multiplying huge fixed-size matrices.</span></div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;  <span class="comment">//      (see https://stackoverflow.com/questions/54738495)</span></div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;  <span class="comment">// For small fixed sizes matrices, however, the gains are less obvious, it is sometimes x2 faster, but sometimes x3 slower,</span></div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;  <span class="comment">// and the behavior depends also a lot on the compiler... This is why this re-writing strategy is currently</span></div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;  <span class="comment">// enabled only when falling back from the main GEMM.</span></div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> Func&gt;</div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;  <span class="keywordtype">void</span> eval_dynamic(Dst&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <span class="keyword">const</span> Func &amp;func)</div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;  {</div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;    <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;      HasScalarFactor = blas_traits&lt;Lhs&gt;::HasScalarFactor || blas_traits&lt;Rhs&gt;::HasScalarFactor,</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;      ConjLhs = blas_traits&lt;Lhs&gt;::NeedToConjugate,</div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;      ConjRhs = blas_traits&lt;Rhs&gt;::NeedToConjugate</div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;    };</div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;    <span class="comment">// FIXME: in c++11 this should be auto, and extractScalarFactor should also return auto</span></div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;    <span class="comment">//        this is important for real*complex_mat</span></div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;    Scalar actualAlpha = combine_scalar_factors&lt;Scalar&gt;(lhs, rhs);</div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160; </div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;    eval_dynamic_impl(dst,</div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;                      blas_traits&lt;Lhs&gt;::extract(lhs).<span class="keyword">template</span> conjugateIf&lt;ConjLhs&gt;(),</div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;                      blas_traits&lt;Rhs&gt;::extract(rhs).<span class="keyword">template</span> conjugateIf&lt;ConjRhs&gt;(),</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;                      func,</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;                      actualAlpha,</div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;                      std::conditional_t&lt;HasScalarFactor,true_type,false_type&gt;());</div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;  }</div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160; </div>
<div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;<span class="keyword">protected</span>:</div>
<div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160; </div>
<div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> LhsT, <span class="keyword">typename</span> RhsT, <span class="keyword">typename</span> Func, <span class="keyword">typename</span> Scalar&gt;</div>
<div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;  <span class="keywordtype">void</span> eval_dynamic_impl(Dst&amp; dst, <span class="keyword">const</span> LhsT&amp; lhs, <span class="keyword">const</span> RhsT&amp; rhs, <span class="keyword">const</span> Func &amp;func, <span class="keyword">const</span> Scalar&amp;  s <span class="comment">/* == 1 */</span>, false_type)</div>
<div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;  {</div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;    EIGEN_UNUSED_VARIABLE(s);</div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;    eigen_internal_assert(numext::is_exactly_one(s));</div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;    call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);</div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;  }</div>
<div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160; </div>
<div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> LhsT, <span class="keyword">typename</span> RhsT, <span class="keyword">typename</span> Func, <span class="keyword">typename</span> Scalar&gt;</div>
<div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;  <span class="keywordtype">void</span> eval_dynamic_impl(Dst&amp; dst, <span class="keyword">const</span> LhsT&amp; lhs, <span class="keyword">const</span> RhsT&amp; rhs, <span class="keyword">const</span> Func &amp;func, <span class="keyword">const</span> Scalar&amp; s, true_type)</div>
<div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;  {</div>
<div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;    call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);</div>
<div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;  }</div>
<div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;};</div>
<div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160; </div>
<div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;<span class="comment">// This specialization enforces the use of a coefficient-based evaluation strategy</span></div>
<div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs&gt;</div>
<div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs,Rhs,DenseShape,DenseShape,LazyCoeffBasedProductMode&gt;</div>
<div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;  : generic_product_impl&lt;Lhs,Rhs,DenseShape,DenseShape,CoeffBasedProductMode&gt; {};</div>
<div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160; </div>
<div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;<span class="comment">// Case 2: Evaluate coeff by coeff</span></div>
<div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;<span class="comment">// This is mostly taken from CoeffBasedProduct.h</span></div>
<div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;<span class="comment">// The main difference is that we add an extra argument to the etor_product_*_impl::run() function</span></div>
<div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;<span class="comment">// for the inner dimension of the product, because evaluator object do not know their size.</span></div>
<div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160; </div>
<div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> Traversal, <span class="keywordtype">int</span> UnrollingIndex, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> RetScalar&gt;</div>
<div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;<span class="keyword">struct </span>etor_product_coeff_impl;</div>
<div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160; </div>
<div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> StorageOrder, <span class="keywordtype">int</span> UnrollingIndex, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode&gt;</div>
<div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;<span class="keyword">struct </span>etor_product_packet_impl;</div>
<div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160; </div>
<div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag&gt;</div>
<div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;<span class="keyword">struct </span>product_evaluator&lt;Product&lt;Lhs, Rhs, LazyProduct&gt;, ProductTag, DenseShape, DenseShape&gt;</div>
<div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;    : evaluator_base&lt;Product&lt;Lhs, Rhs, LazyProduct&gt; &gt;</div>
<div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;{</div>
<div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;  <span class="keyword">typedef</span> Product&lt;Lhs, Rhs, LazyProduct&gt; XprType;</div>
<div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::Scalar Scalar;</div>
<div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::CoeffReturnType CoeffReturnType;</div>
<div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160; </div>
<div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;  <span class="keyword">explicit</span> product_evaluator(<span class="keyword">const</span> XprType&amp; xpr)</div>
<div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;    : m_lhs(xpr.lhs()),</div>
<div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;      m_rhs(xpr.rhs()),</div>
<div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;      m_lhsImpl(m_lhs),     <span class="comment">// FIXME the creation of the evaluator objects should result in a no-op, but check that!</span></div>
<div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;      m_rhsImpl(m_rhs),     <span class="comment">//       Moreover, they are only useful for the packet path, so we could completely disable them when not needed,</span></div>
<div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;                            <span class="comment">//       or perhaps declare them on the fly on the packet method... We have experiment to check what&#39;s best.</span></div>
<div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;      m_innerDim(xpr.lhs().cols())</div>
<div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;  {</div>
<div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;    EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits&lt;Scalar&gt;::MulCost);</div>
<div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;    EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits&lt;Scalar&gt;::AddCost);</div>
<div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);</div>
<div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;<span class="preprocessor">#if 0</span></div>
<div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;    std::cerr &lt;&lt; <span class="stringliteral">&quot;LhsOuterStrideBytes=  &quot;</span> &lt;&lt; LhsOuterStrideBytes &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;    std::cerr &lt;&lt; <span class="stringliteral">&quot;RhsOuterStrideBytes=  &quot;</span> &lt;&lt; RhsOuterStrideBytes &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;    std::cerr &lt;&lt; <span class="stringliteral">&quot;LhsAlignment=         &quot;</span> &lt;&lt; LhsAlignment &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;    std::cerr &lt;&lt; <span class="stringliteral">&quot;RhsAlignment=         &quot;</span> &lt;&lt; RhsAlignment &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;    std::cerr &lt;&lt; <span class="stringliteral">&quot;CanVectorizeLhs=      &quot;</span> &lt;&lt; CanVectorizeLhs &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;    std::cerr &lt;&lt; <span class="stringliteral">&quot;CanVectorizeRhs=      &quot;</span> &lt;&lt; CanVectorizeRhs &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;    std::cerr &lt;&lt; <span class="stringliteral">&quot;CanVectorizeInner=    &quot;</span> &lt;&lt; CanVectorizeInner &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;    std::cerr &lt;&lt; <span class="stringliteral">&quot;EvalToRowMajor=       &quot;</span> &lt;&lt; EvalToRowMajor &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;    std::cerr &lt;&lt; <span class="stringliteral">&quot;Alignment=            &quot;</span> &lt;&lt; Alignment &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;    std::cerr &lt;&lt; <span class="stringliteral">&quot;Flags=                &quot;</span> &lt;&lt; Flags &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
<div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;  }</div>
<div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160; </div>
<div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;  <span class="comment">// Everything below here is taken from CoeffBasedProduct.h</span></div>
<div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160; </div>
<div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::nested_eval&lt;Lhs,Rhs::ColsAtCompileTime&gt;::type LhsNested;</div>
<div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::nested_eval&lt;Rhs,Lhs::RowsAtCompileTime&gt;::type RhsNested;</div>
<div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160; </div>
<div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;  <span class="keyword">typedef</span> internal::remove_all_t&lt;LhsNested&gt; LhsNestedCleaned;</div>
<div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;  <span class="keyword">typedef</span> internal::remove_all_t&lt;RhsNested&gt; RhsNestedCleaned;</div>
<div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160; </div>
<div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;  <span class="keyword">typedef</span> evaluator&lt;LhsNestedCleaned&gt; LhsEtorType;</div>
<div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;  <span class="keyword">typedef</span> evaluator&lt;RhsNestedCleaned&gt; RhsEtorType;</div>
<div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160; </div>
<div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;    RowsAtCompileTime = LhsNestedCleaned::RowsAtCompileTime,</div>
<div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;    ColsAtCompileTime = RhsNestedCleaned::ColsAtCompileTime,</div>
<div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;    InnerSize = min_size_prefer_fixed(LhsNestedCleaned::ColsAtCompileTime, RhsNestedCleaned::RowsAtCompileTime),</div>
<div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;    MaxRowsAtCompileTime = LhsNestedCleaned::MaxRowsAtCompileTime,</div>
<div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;    MaxColsAtCompileTime = RhsNestedCleaned::MaxColsAtCompileTime</div>
<div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;  };</div>
<div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160; </div>
<div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> find_best_packet&lt;Scalar,RowsAtCompileTime&gt;::type LhsVecPacketType;</div>
<div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> find_best_packet&lt;Scalar,ColsAtCompileTime&gt;::type RhsVecPacketType;</div>
<div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160; </div>
<div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160; </div>
<div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;    LhsCoeffReadCost = LhsEtorType::CoeffReadCost,</div>
<div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;    RhsCoeffReadCost = RhsEtorType::CoeffReadCost,</div>
<div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;    CoeffReadCost = InnerSize==0 ? NumTraits&lt;Scalar&gt;::ReadCost</div>
<div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;                  : InnerSize == <a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a> ? <a class="code" href="namespaceEigen.html#a3163430a1c13173faffde69016b48aaf">HugeCost</a></div>
<div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;                    : InnerSize * (NumTraits&lt;Scalar&gt;::MulCost + int(LhsCoeffReadCost) + int(RhsCoeffReadCost))</div>
<div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;                    + (InnerSize - 1) * NumTraits&lt;Scalar&gt;::AddCost,</div>
<div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160; </div>
<div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;    Unroll = CoeffReadCost &lt;= EIGEN_UNROLLING_LIMIT,</div>
<div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160; </div>
<div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;    LhsFlags = LhsEtorType::Flags,</div>
<div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;    RhsFlags = RhsEtorType::Flags,</div>
<div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160; </div>
<div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;    LhsRowMajor = LhsFlags &amp; <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>,</div>
<div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;    RhsRowMajor = RhsFlags &amp; <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>,</div>
<div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160; </div>
<div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;    LhsVecPacketSize = unpacket_traits&lt;LhsVecPacketType&gt;::size,</div>
<div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;    RhsVecPacketSize = unpacket_traits&lt;RhsVecPacketType&gt;::size,</div>
<div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160; </div>
<div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;    <span class="comment">// Here, we don&#39;t care about alignment larger than the usable packet size.</span></div>
<div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;    LhsAlignment = plain_enum_min(LhsEtorType::Alignment, LhsVecPacketSize*<span class="keywordtype">int</span>(<span class="keyword">sizeof</span>(<span class="keyword">typename</span> LhsNestedCleaned::Scalar))),</div>
<div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;    RhsAlignment = plain_enum_min(RhsEtorType::Alignment, RhsVecPacketSize*<span class="keywordtype">int</span>(<span class="keyword">sizeof</span>(<span class="keyword">typename</span> RhsNestedCleaned::Scalar))),</div>
<div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160; </div>
<div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;    SameType = is_same&lt;typename LhsNestedCleaned::Scalar,typename RhsNestedCleaned::Scalar&gt;::value,</div>
<div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160; </div>
<div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;    CanVectorizeRhs = bool(RhsRowMajor) &amp;&amp; (RhsFlags &amp; <a class="code" href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">PacketAccessBit</a>) &amp;&amp; (ColsAtCompileTime!=1),</div>
<div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;    CanVectorizeLhs = (!LhsRowMajor) &amp;&amp; (LhsFlags &amp; <a class="code" href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">PacketAccessBit</a>) &amp;&amp; (RowsAtCompileTime!=1),</div>
<div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160; </div>
<div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;    EvalToRowMajor = (MaxRowsAtCompileTime==1&amp;&amp;MaxColsAtCompileTime!=1) ? 1</div>
<div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;                    : (MaxColsAtCompileTime==1&amp;&amp;MaxRowsAtCompileTime!=1) ? 0</div>
<div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;                    : (<span class="keywordtype">bool</span>(RhsRowMajor) &amp;&amp; !CanVectorizeLhs),</div>
<div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160; </div>
<div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;    Flags = ((<span class="keywordtype">int</span>(LhsFlags) | int(RhsFlags)) &amp; HereditaryBits &amp; ~<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>)</div>
<div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;          | (EvalToRowMajor ? <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a> : 0)</div>
<div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;          <span class="comment">// TODO enable vectorization for mixed types</span></div>
<div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;          | (SameType &amp;&amp; (CanVectorizeLhs || CanVectorizeRhs) ? <a class="code" href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">PacketAccessBit</a> : 0)</div>
<div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;          | (XprType::IsVectorAtCompileTime ? <a class="code" href="group__flags.html#ga4b983a15d57cd55806df618ac544d09e">LinearAccessBit</a> : 0),</div>
<div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160; </div>
<div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;    LhsOuterStrideBytes = int(LhsNestedCleaned::OuterStrideAtCompileTime) * int(<span class="keyword">sizeof</span>(<span class="keyword">typename</span> LhsNestedCleaned::Scalar)),</div>
<div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;    RhsOuterStrideBytes = int(RhsNestedCleaned::OuterStrideAtCompileTime) * int(<span class="keyword">sizeof</span>(<span class="keyword">typename</span> RhsNestedCleaned::Scalar)),</div>
<div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160; </div>
<div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;    Alignment = bool(CanVectorizeLhs) ? (LhsOuterStrideBytes&lt;=0 || (int(LhsOuterStrideBytes) % plain_enum_max(1, LhsAlignment))!=0 ? 0 : LhsAlignment)</div>
<div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;              : bool(CanVectorizeRhs) ? (RhsOuterStrideBytes&lt;=0 || (int(RhsOuterStrideBytes) % plain_enum_max(1, RhsAlignment))!=0 ? 0 : RhsAlignment)</div>
<div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;              : 0,</div>
<div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160; </div>
<div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;    <span class="comment">/* CanVectorizeInner deserves special explanation. It does not affect the product flags. It is not used outside</span></div>
<div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;<span class="comment">     * of Product. If the Product itself is not a packet-access expression, there is still a chance that the inner</span></div>
<div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;<span class="comment">     * loop of the product might be vectorized. This is the meaning of CanVectorizeInner. Since it doesn&#39;t affect</span></div>
<div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;<span class="comment">     * the Flags, it is safe to make this value depend on ActualPacketAccessBit, that doesn&#39;t affect the ABI.</span></div>
<div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;<span class="comment">     */</span></div>
<div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;    CanVectorizeInner =    SameType</div>
<div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;                        &amp;&amp; LhsRowMajor</div>
<div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;                        &amp;&amp; (!RhsRowMajor)</div>
<div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;                        &amp;&amp; (<span class="keywordtype">int</span>(LhsFlags) &amp; int(RhsFlags) &amp; <a class="code" href="group__flags.html#ga020f88dc24a123b9afbd756c4b220db2">ActualPacketAccessBit</a>)</div>
<div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;                        &amp;&amp; (<span class="keywordtype">int</span>(InnerSize) % packet_traits&lt;Scalar&gt;::size == 0)</div>
<div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160;  };</div>
<div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160; </div>
<div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> CoeffReturnType coeff(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160;    <span class="keywordflow">return</span> (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();</div>
<div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;  }</div>
<div class="line"><a name="l00610"></a><span class="lineno">  610</span>&#160; </div>
<div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160;  <span class="comment">/* Allow index-based non-packet access. It is impossible though to allow index-based packed access,</span></div>
<div class="line"><a name="l00612"></a><span class="lineno">  612</span>&#160;<span class="comment">   * which is why we don&#39;t set the LinearAccessBit.</span></div>
<div class="line"><a name="l00613"></a><span class="lineno">  613</span>&#160;<span class="comment">   * TODO: this seems possible when the result is a vector</span></div>
<div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160;<span class="comment">   */</span></div>
<div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;  <span class="keyword">const</span> CoeffReturnType coeff(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? 0 : index;</div>
<div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? index : 0;</div>
<div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;    <span class="keywordflow">return</span> (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();</div>
<div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160;  }</div>
<div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160; </div>
<div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> LoadMode, <span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00625"></a><span class="lineno">  625</span>&#160;  <span class="keyword">const</span> PacketType packet(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160;    PacketType res;</div>
<div class="line"><a name="l00628"></a><span class="lineno">  628</span>&#160;    <span class="keyword">typedef</span> etor_product_packet_impl&lt;bool(<span class="keywordtype">int</span>(Flags)&amp;<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>) ? <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a> : <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>,</div>
<div class="line"><a name="l00629"></a><span class="lineno">  629</span>&#160;                                     Unroll ? int(InnerSize) : <a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a>,</div>
<div class="line"><a name="l00630"></a><span class="lineno">  630</span>&#160;                                     LhsEtorType, RhsEtorType, PacketType, LoadMode&gt; PacketImpl;</div>
<div class="line"><a name="l00631"></a><span class="lineno">  631</span>&#160;    PacketImpl::run(row, col, m_lhsImpl, m_rhsImpl, m_innerDim, res);</div>
<div class="line"><a name="l00632"></a><span class="lineno">  632</span>&#160;    <span class="keywordflow">return</span> res;</div>
<div class="line"><a name="l00633"></a><span class="lineno">  633</span>&#160;  }</div>
<div class="line"><a name="l00634"></a><span class="lineno">  634</span>&#160; </div>
<div class="line"><a name="l00635"></a><span class="lineno">  635</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> LoadMode, <span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00636"></a><span class="lineno">  636</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00637"></a><span class="lineno">  637</span>&#160;  <span class="keyword">const</span> PacketType packet(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00638"></a><span class="lineno">  638</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00639"></a><span class="lineno">  639</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? 0 : index;</div>
<div class="line"><a name="l00640"></a><span class="lineno">  640</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? index : 0;</div>
<div class="line"><a name="l00641"></a><span class="lineno">  641</span>&#160;    <span class="keywordflow">return</span> packet&lt;LoadMode,PacketType&gt;(row,col);</div>
<div class="line"><a name="l00642"></a><span class="lineno">  642</span>&#160;  }</div>
<div class="line"><a name="l00643"></a><span class="lineno">  643</span>&#160; </div>
<div class="line"><a name="l00644"></a><span class="lineno">  644</span>&#160;<span class="keyword">protected</span>:</div>
<div class="line"><a name="l00645"></a><span class="lineno">  645</span>&#160;  add_const_on_value_type_t&lt;LhsNested&gt; m_lhs;</div>
<div class="line"><a name="l00646"></a><span class="lineno">  646</span>&#160;  add_const_on_value_type_t&lt;RhsNested&gt; m_rhs;</div>
<div class="line"><a name="l00647"></a><span class="lineno">  647</span>&#160; </div>
<div class="line"><a name="l00648"></a><span class="lineno">  648</span>&#160;  LhsEtorType m_lhsImpl;</div>
<div class="line"><a name="l00649"></a><span class="lineno">  649</span>&#160;  RhsEtorType m_rhsImpl;</div>
<div class="line"><a name="l00650"></a><span class="lineno">  650</span>&#160; </div>
<div class="line"><a name="l00651"></a><span class="lineno">  651</span>&#160;  <span class="comment">// TODO: Get rid of m_innerDim if known at compile time</span></div>
<div class="line"><a name="l00652"></a><span class="lineno">  652</span>&#160;  <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> m_innerDim;</div>
<div class="line"><a name="l00653"></a><span class="lineno">  653</span>&#160;};</div>
<div class="line"><a name="l00654"></a><span class="lineno">  654</span>&#160; </div>
<div class="line"><a name="l00655"></a><span class="lineno">  655</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs&gt;</div>
<div class="line"><a name="l00656"></a><span class="lineno">  656</span>&#160;<span class="keyword">struct </span>product_evaluator&lt;Product&lt;Lhs, Rhs, DefaultProduct&gt;, LazyCoeffBasedProductMode, DenseShape, DenseShape&gt;</div>
<div class="line"><a name="l00657"></a><span class="lineno">  657</span>&#160;  : product_evaluator&lt;Product&lt;Lhs, Rhs, LazyProduct&gt;, CoeffBasedProductMode, DenseShape, DenseShape&gt;</div>
<div class="line"><a name="l00658"></a><span class="lineno">  658</span>&#160;{</div>
<div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160;  <span class="keyword">typedef</span> Product&lt;Lhs, Rhs, DefaultProduct&gt; XprType;</div>
<div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;  <span class="keyword">typedef</span> Product&lt;Lhs, Rhs, LazyProduct&gt; BaseProduct;</div>
<div class="line"><a name="l00661"></a><span class="lineno">  661</span>&#160;  <span class="keyword">typedef</span> product_evaluator&lt;BaseProduct, CoeffBasedProductMode, DenseShape, DenseShape&gt; Base;</div>
<div class="line"><a name="l00662"></a><span class="lineno">  662</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00663"></a><span class="lineno">  663</span>&#160;    Flags = Base::Flags | <a class="code" href="group__flags.html#gaa34e83bae46a8eeae4e69ebe3aaecbed">EvalBeforeNestingBit</a></div>
<div class="line"><a name="l00664"></a><span class="lineno">  664</span>&#160;  };</div>
<div class="line"><a name="l00665"></a><span class="lineno">  665</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00666"></a><span class="lineno">  666</span>&#160;  <span class="keyword">explicit</span> product_evaluator(<span class="keyword">const</span> XprType&amp; xpr)</div>
<div class="line"><a name="l00667"></a><span class="lineno">  667</span>&#160;    : Base(BaseProduct(xpr.lhs(),xpr.rhs()))</div>
<div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;  {}</div>
<div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160;};</div>
<div class="line"><a name="l00670"></a><span class="lineno">  670</span>&#160; </div>
<div class="line"><a name="l00671"></a><span class="lineno">  671</span>&#160;<span class="comment">/****************************************</span></div>
<div class="line"><a name="l00672"></a><span class="lineno">  672</span>&#160;<span class="comment">*** Coeff based product, Packet path  ***</span></div>
<div class="line"><a name="l00673"></a><span class="lineno">  673</span>&#160;<span class="comment">****************************************/</span></div>
<div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160; </div>
<div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> UnrollingIndex, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode&gt;</div>
<div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160;<span class="keyword">struct </span>etor_product_packet_impl&lt;<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a>, UnrollingIndex, Lhs, Rhs, Packet, LoadMode&gt;</div>
<div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;{</div>
<div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> innerDim, Packet &amp;res)</div>
<div class="line"><a name="l00679"></a><span class="lineno">  679</span>&#160;  {</div>
<div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;    etor_product_packet_impl&lt;RowMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode&gt;::run(row, col, lhs, rhs, innerDim, res);</div>
<div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160;    res =  pmadd(pset1&lt;Packet&gt;(lhs.coeff(row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(UnrollingIndex-1))), rhs.template packet&lt;LoadMode,Packet&gt;(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(UnrollingIndex-1), col), res);</div>
<div class="line"><a name="l00682"></a><span class="lineno">  682</span>&#160;  }</div>
<div class="line"><a name="l00683"></a><span class="lineno">  683</span>&#160;};</div>
<div class="line"><a name="l00684"></a><span class="lineno">  684</span>&#160; </div>
<div class="line"><a name="l00685"></a><span class="lineno">  685</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> UnrollingIndex, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode&gt;</div>
<div class="line"><a name="l00686"></a><span class="lineno">  686</span>&#160;<span class="keyword">struct </span>etor_product_packet_impl&lt;<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>, UnrollingIndex, Lhs, Rhs, Packet, LoadMode&gt;</div>
<div class="line"><a name="l00687"></a><span class="lineno">  687</span>&#160;{</div>
<div class="line"><a name="l00688"></a><span class="lineno">  688</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> innerDim, Packet &amp;res)</div>
<div class="line"><a name="l00689"></a><span class="lineno">  689</span>&#160;  {</div>
<div class="line"><a name="l00690"></a><span class="lineno">  690</span>&#160;    etor_product_packet_impl&lt;ColMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode&gt;::run(row, col, lhs, rhs, innerDim, res);</div>
<div class="line"><a name="l00691"></a><span class="lineno">  691</span>&#160;    res =  pmadd(lhs.template packet&lt;LoadMode,Packet&gt;(row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(UnrollingIndex-1)), pset1&lt;Packet&gt;(rhs.coeff(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(UnrollingIndex-1), col)), res);</div>
<div class="line"><a name="l00692"></a><span class="lineno">  692</span>&#160;  }</div>
<div class="line"><a name="l00693"></a><span class="lineno">  693</span>&#160;};</div>
<div class="line"><a name="l00694"></a><span class="lineno">  694</span>&#160; </div>
<div class="line"><a name="l00695"></a><span class="lineno">  695</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode&gt;</div>
<div class="line"><a name="l00696"></a><span class="lineno">  696</span>&#160;<span class="keyword">struct </span>etor_product_packet_impl&lt;<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a>, 1, Lhs, Rhs, Packet, LoadMode&gt;</div>
<div class="line"><a name="l00697"></a><span class="lineno">  697</span>&#160;{</div>
<div class="line"><a name="l00698"></a><span class="lineno">  698</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> <span class="comment">/*innerDim*/</span>, Packet &amp;res)</div>
<div class="line"><a name="l00699"></a><span class="lineno">  699</span>&#160;  {</div>
<div class="line"><a name="l00700"></a><span class="lineno">  700</span>&#160;    res = pmul(pset1&lt;Packet&gt;(lhs.coeff(row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(0))),rhs.template packet&lt;LoadMode,Packet&gt;(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(0), col));</div>
<div class="line"><a name="l00701"></a><span class="lineno">  701</span>&#160;  }</div>
<div class="line"><a name="l00702"></a><span class="lineno">  702</span>&#160;};</div>
<div class="line"><a name="l00703"></a><span class="lineno">  703</span>&#160; </div>
<div class="line"><a name="l00704"></a><span class="lineno">  704</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode&gt;</div>
<div class="line"><a name="l00705"></a><span class="lineno">  705</span>&#160;<span class="keyword">struct </span>etor_product_packet_impl&lt;<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>, 1, Lhs, Rhs, Packet, LoadMode&gt;</div>
<div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160;{</div>
<div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> <span class="comment">/*innerDim*/</span>, Packet &amp;res)</div>
<div class="line"><a name="l00708"></a><span class="lineno">  708</span>&#160;  {</div>
<div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160;    res = pmul(lhs.template packet&lt;LoadMode,Packet&gt;(row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(0)), pset1&lt;Packet&gt;(rhs.coeff(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(0), col)));</div>
<div class="line"><a name="l00710"></a><span class="lineno">  710</span>&#160;  }</div>
<div class="line"><a name="l00711"></a><span class="lineno">  711</span>&#160;};</div>
<div class="line"><a name="l00712"></a><span class="lineno">  712</span>&#160; </div>
<div class="line"><a name="l00713"></a><span class="lineno">  713</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode&gt;</div>
<div class="line"><a name="l00714"></a><span class="lineno">  714</span>&#160;<span class="keyword">struct </span>etor_product_packet_impl&lt;<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a>, 0, Lhs, Rhs, Packet, LoadMode&gt;</div>
<div class="line"><a name="l00715"></a><span class="lineno">  715</span>&#160;{</div>
<div class="line"><a name="l00716"></a><span class="lineno">  716</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> <span class="comment">/*row*/</span>, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> <span class="comment">/*col*/</span>, <span class="keyword">const</span> Lhs&amp; <span class="comment">/*lhs*/</span>, <span class="keyword">const</span> Rhs&amp; <span class="comment">/*rhs*/</span>, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> <span class="comment">/*innerDim*/</span>, Packet &amp;res)</div>
<div class="line"><a name="l00717"></a><span class="lineno">  717</span>&#160;  {</div>
<div class="line"><a name="l00718"></a><span class="lineno">  718</span>&#160;    res = pset1&lt;Packet&gt;(<span class="keyword">typename</span> unpacket_traits&lt;Packet&gt;::type(0));</div>
<div class="line"><a name="l00719"></a><span class="lineno">  719</span>&#160;  }</div>
<div class="line"><a name="l00720"></a><span class="lineno">  720</span>&#160;};</div>
<div class="line"><a name="l00721"></a><span class="lineno">  721</span>&#160; </div>
<div class="line"><a name="l00722"></a><span class="lineno">  722</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode&gt;</div>
<div class="line"><a name="l00723"></a><span class="lineno">  723</span>&#160;<span class="keyword">struct </span>etor_product_packet_impl&lt;<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>, 0, Lhs, Rhs, Packet, LoadMode&gt;</div>
<div class="line"><a name="l00724"></a><span class="lineno">  724</span>&#160;{</div>
<div class="line"><a name="l00725"></a><span class="lineno">  725</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> <span class="comment">/*row*/</span>, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> <span class="comment">/*col*/</span>, <span class="keyword">const</span> Lhs&amp; <span class="comment">/*lhs*/</span>, <span class="keyword">const</span> Rhs&amp; <span class="comment">/*rhs*/</span>, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> <span class="comment">/*innerDim*/</span>, Packet &amp;res)</div>
<div class="line"><a name="l00726"></a><span class="lineno">  726</span>&#160;  {</div>
<div class="line"><a name="l00727"></a><span class="lineno">  727</span>&#160;    res = pset1&lt;Packet&gt;(<span class="keyword">typename</span> unpacket_traits&lt;Packet&gt;::type(0));</div>
<div class="line"><a name="l00728"></a><span class="lineno">  728</span>&#160;  }</div>
<div class="line"><a name="l00729"></a><span class="lineno">  729</span>&#160;};</div>
<div class="line"><a name="l00730"></a><span class="lineno">  730</span>&#160; </div>
<div class="line"><a name="l00731"></a><span class="lineno">  731</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode&gt;</div>
<div class="line"><a name="l00732"></a><span class="lineno">  732</span>&#160;<span class="keyword">struct </span>etor_product_packet_impl&lt;<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a>, <a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a>, Lhs, Rhs, Packet, LoadMode&gt;</div>
<div class="line"><a name="l00733"></a><span class="lineno">  733</span>&#160;{</div>
<div class="line"><a name="l00734"></a><span class="lineno">  734</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> innerDim, Packet&amp; res)</div>
<div class="line"><a name="l00735"></a><span class="lineno">  735</span>&#160;  {</div>
<div class="line"><a name="l00736"></a><span class="lineno">  736</span>&#160;    res = pset1&lt;Packet&gt;(<span class="keyword">typename</span> unpacket_traits&lt;Packet&gt;::type(0));</div>
<div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;    <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = 0; i &lt; innerDim; ++i)</div>
<div class="line"><a name="l00738"></a><span class="lineno">  738</span>&#160;      res =  pmadd(pset1&lt;Packet&gt;(lhs.coeff(row, i)), rhs.template packet&lt;LoadMode,Packet&gt;(i, col), res);</div>
<div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;  }</div>
<div class="line"><a name="l00740"></a><span class="lineno">  740</span>&#160;};</div>
<div class="line"><a name="l00741"></a><span class="lineno">  741</span>&#160; </div>
<div class="line"><a name="l00742"></a><span class="lineno">  742</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode&gt;</div>
<div class="line"><a name="l00743"></a><span class="lineno">  743</span>&#160;<span class="keyword">struct </span>etor_product_packet_impl&lt;<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>, <a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a>, Lhs, Rhs, Packet, LoadMode&gt;</div>
<div class="line"><a name="l00744"></a><span class="lineno">  744</span>&#160;{</div>
<div class="line"><a name="l00745"></a><span class="lineno">  745</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> innerDim, Packet&amp; res)</div>
<div class="line"><a name="l00746"></a><span class="lineno">  746</span>&#160;  {</div>
<div class="line"><a name="l00747"></a><span class="lineno">  747</span>&#160;    res = pset1&lt;Packet&gt;(<span class="keyword">typename</span> unpacket_traits&lt;Packet&gt;::type(0));</div>
<div class="line"><a name="l00748"></a><span class="lineno">  748</span>&#160;    <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = 0; i &lt; innerDim; ++i)</div>
<div class="line"><a name="l00749"></a><span class="lineno">  749</span>&#160;      res =  pmadd(lhs.template packet&lt;LoadMode,Packet&gt;(row, i), pset1&lt;Packet&gt;(rhs.coeff(i, col)), res);</div>
<div class="line"><a name="l00750"></a><span class="lineno">  750</span>&#160;  }</div>
<div class="line"><a name="l00751"></a><span class="lineno">  751</span>&#160;};</div>
<div class="line"><a name="l00752"></a><span class="lineno">  752</span>&#160; </div>
<div class="line"><a name="l00753"></a><span class="lineno">  753</span>&#160; </div>
<div class="line"><a name="l00754"></a><span class="lineno">  754</span>&#160;<span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00755"></a><span class="lineno">  755</span>&#160;<span class="comment">* Triangular products</span></div>
<div class="line"><a name="l00756"></a><span class="lineno">  756</span>&#160;<span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00757"></a><span class="lineno">  757</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> Mode, <span class="keywordtype">bool</span> LhsIsTriangular,</div>
<div class="line"><a name="l00758"></a><span class="lineno">  758</span>&#160;         <span class="keyword">typename</span> Lhs, <span class="keywordtype">bool</span> LhsIsVector,</div>
<div class="line"><a name="l00759"></a><span class="lineno">  759</span>&#160;         <span class="keyword">typename</span> Rhs, <span class="keywordtype">bool</span> RhsIsVector&gt;</div>
<div class="line"><a name="l00760"></a><span class="lineno">  760</span>&#160;<span class="keyword">struct </span>triangular_product_impl;</div>
<div class="line"><a name="l00761"></a><span class="lineno">  761</span>&#160; </div>
<div class="line"><a name="l00762"></a><span class="lineno">  762</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag&gt;</div>
<div class="line"><a name="l00763"></a><span class="lineno">  763</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs,Rhs,TriangularShape,DenseShape,ProductTag&gt;</div>
<div class="line"><a name="l00764"></a><span class="lineno">  764</span>&#160;  : generic_product_impl_base&lt;Lhs,Rhs,generic_product_impl&lt;Lhs,Rhs,TriangularShape,DenseShape,ProductTag&gt; &gt;</div>
<div class="line"><a name="l00765"></a><span class="lineno">  765</span>&#160;{</div>
<div class="line"><a name="l00766"></a><span class="lineno">  766</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Product&lt;Lhs,Rhs&gt;::Scalar Scalar;</div>
<div class="line"><a name="l00767"></a><span class="lineno">  767</span>&#160; </div>
<div class="line"><a name="l00768"></a><span class="lineno">  768</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l00769"></a><span class="lineno">  769</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> scaleAndAddTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <span class="keyword">const</span> Scalar&amp; alpha)</div>
<div class="line"><a name="l00770"></a><span class="lineno">  770</span>&#160;  {</div>
<div class="line"><a name="l00771"></a><span class="lineno">  771</span>&#160;    triangular_product_impl&lt;Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1&gt;</div>
<div class="line"><a name="l00772"></a><span class="lineno">  772</span>&#160;        ::run(dst, lhs.nestedExpression(), rhs, alpha);</div>
<div class="line"><a name="l00773"></a><span class="lineno">  773</span>&#160;  }</div>
<div class="line"><a name="l00774"></a><span class="lineno">  774</span>&#160;};</div>
<div class="line"><a name="l00775"></a><span class="lineno">  775</span>&#160; </div>
<div class="line"><a name="l00776"></a><span class="lineno">  776</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag&gt;</div>
<div class="line"><a name="l00777"></a><span class="lineno">  777</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs,Rhs,DenseShape,TriangularShape,ProductTag&gt;</div>
<div class="line"><a name="l00778"></a><span class="lineno">  778</span>&#160;: generic_product_impl_base&lt;Lhs,Rhs,generic_product_impl&lt;Lhs,Rhs,DenseShape,TriangularShape,ProductTag&gt; &gt;</div>
<div class="line"><a name="l00779"></a><span class="lineno">  779</span>&#160;{</div>
<div class="line"><a name="l00780"></a><span class="lineno">  780</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Product&lt;Lhs,Rhs&gt;::Scalar Scalar;</div>
<div class="line"><a name="l00781"></a><span class="lineno">  781</span>&#160; </div>
<div class="line"><a name="l00782"></a><span class="lineno">  782</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l00783"></a><span class="lineno">  783</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> scaleAndAddTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <span class="keyword">const</span> Scalar&amp; alpha)</div>
<div class="line"><a name="l00784"></a><span class="lineno">  784</span>&#160;  {</div>
<div class="line"><a name="l00785"></a><span class="lineno">  785</span>&#160;    triangular_product_impl&lt;Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false&gt;::run(dst, lhs, rhs.nestedExpression(), alpha);</div>
<div class="line"><a name="l00786"></a><span class="lineno">  786</span>&#160;  }</div>
<div class="line"><a name="l00787"></a><span class="lineno">  787</span>&#160;};</div>
<div class="line"><a name="l00788"></a><span class="lineno">  788</span>&#160; </div>
<div class="line"><a name="l00789"></a><span class="lineno">  789</span>&#160; </div>
<div class="line"><a name="l00790"></a><span class="lineno">  790</span>&#160;<span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00791"></a><span class="lineno">  791</span>&#160;<span class="comment">* SelfAdjoint products</span></div>
<div class="line"><a name="l00792"></a><span class="lineno">  792</span>&#160;<span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00793"></a><span class="lineno">  793</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Lhs, <span class="keywordtype">int</span> LhsMode, <span class="keywordtype">bool</span> LhsIsVector,</div>
<div class="line"><a name="l00794"></a><span class="lineno">  794</span>&#160;          <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> RhsMode, <span class="keywordtype">bool</span> RhsIsVector&gt;</div>
<div class="line"><a name="l00795"></a><span class="lineno">  795</span>&#160;<span class="keyword">struct </span>selfadjoint_product_impl;</div>
<div class="line"><a name="l00796"></a><span class="lineno">  796</span>&#160; </div>
<div class="line"><a name="l00797"></a><span class="lineno">  797</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag&gt;</div>
<div class="line"><a name="l00798"></a><span class="lineno">  798</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs,Rhs,SelfAdjointShape,DenseShape,ProductTag&gt;</div>
<div class="line"><a name="l00799"></a><span class="lineno">  799</span>&#160;  : generic_product_impl_base&lt;Lhs,Rhs,generic_product_impl&lt;Lhs,Rhs,SelfAdjointShape,DenseShape,ProductTag&gt; &gt;</div>
<div class="line"><a name="l00800"></a><span class="lineno">  800</span>&#160;{</div>
<div class="line"><a name="l00801"></a><span class="lineno">  801</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Product&lt;Lhs,Rhs&gt;::Scalar Scalar;</div>
<div class="line"><a name="l00802"></a><span class="lineno">  802</span>&#160; </div>
<div class="line"><a name="l00803"></a><span class="lineno">  803</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l00804"></a><span class="lineno">  804</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00805"></a><span class="lineno">  805</span>&#160;  <span class="keywordtype">void</span> scaleAndAddTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <span class="keyword">const</span> Scalar&amp; alpha)</div>
<div class="line"><a name="l00806"></a><span class="lineno">  806</span>&#160;  {</div>
<div class="line"><a name="l00807"></a><span class="lineno">  807</span>&#160;    selfadjoint_product_impl&lt;typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime&gt;::run(dst, lhs.nestedExpression(), rhs, alpha);</div>
<div class="line"><a name="l00808"></a><span class="lineno">  808</span>&#160;  }</div>
<div class="line"><a name="l00809"></a><span class="lineno">  809</span>&#160;};</div>
<div class="line"><a name="l00810"></a><span class="lineno">  810</span>&#160; </div>
<div class="line"><a name="l00811"></a><span class="lineno">  811</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag&gt;</div>
<div class="line"><a name="l00812"></a><span class="lineno">  812</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs,Rhs,DenseShape,SelfAdjointShape,ProductTag&gt;</div>
<div class="line"><a name="l00813"></a><span class="lineno">  813</span>&#160;: generic_product_impl_base&lt;Lhs,Rhs,generic_product_impl&lt;Lhs,Rhs,DenseShape,SelfAdjointShape,ProductTag&gt; &gt;</div>
<div class="line"><a name="l00814"></a><span class="lineno">  814</span>&#160;{</div>
<div class="line"><a name="l00815"></a><span class="lineno">  815</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Product&lt;Lhs,Rhs&gt;::Scalar Scalar;</div>
<div class="line"><a name="l00816"></a><span class="lineno">  816</span>&#160; </div>
<div class="line"><a name="l00817"></a><span class="lineno">  817</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l00818"></a><span class="lineno">  818</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> scaleAndAddTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs, <span class="keyword">const</span> Scalar&amp; alpha)</div>
<div class="line"><a name="l00819"></a><span class="lineno">  819</span>&#160;  {</div>
<div class="line"><a name="l00820"></a><span class="lineno">  820</span>&#160;    selfadjoint_product_impl&lt;Lhs,0,Lhs::IsVectorAtCompileTime,typename Rhs::MatrixType,Rhs::Mode,false&gt;::run(dst, lhs, rhs.nestedExpression(), alpha);</div>
<div class="line"><a name="l00821"></a><span class="lineno">  821</span>&#160;  }</div>
<div class="line"><a name="l00822"></a><span class="lineno">  822</span>&#160;};</div>
<div class="line"><a name="l00823"></a><span class="lineno">  823</span>&#160; </div>
<div class="line"><a name="l00824"></a><span class="lineno">  824</span>&#160; </div>
<div class="line"><a name="l00825"></a><span class="lineno">  825</span>&#160;<span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00826"></a><span class="lineno">  826</span>&#160;<span class="comment">* Diagonal products</span></div>
<div class="line"><a name="l00827"></a><span class="lineno">  827</span>&#160;<span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00828"></a><span class="lineno">  828</span>&#160; </div>
<div class="line"><a name="l00829"></a><span class="lineno">  829</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType, <span class="keyword">typename</span> DiagonalType, <span class="keyword">typename</span> Derived, <span class="keywordtype">int</span> ProductOrder&gt;</div>
<div class="line"><a name="l00830"></a><span class="lineno">  830</span>&#160;<span class="keyword">struct </span>diagonal_product_evaluator_base</div>
<div class="line"><a name="l00831"></a><span class="lineno">  831</span>&#160;  : evaluator_base&lt;Derived&gt;</div>
<div class="line"><a name="l00832"></a><span class="lineno">  832</span>&#160;{</div>
<div class="line"><a name="l00833"></a><span class="lineno">  833</span>&#160;   <span class="keyword">typedef</span> <span class="keyword">typename</span> ScalarBinaryOpTraits&lt;typename MatrixType::Scalar, typename DiagonalType::Scalar&gt;::ReturnType Scalar;</div>
<div class="line"><a name="l00834"></a><span class="lineno">  834</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00835"></a><span class="lineno">  835</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00836"></a><span class="lineno">  836</span>&#160;    CoeffReadCost = int(NumTraits&lt;Scalar&gt;::MulCost) + int(evaluator&lt;MatrixType&gt;::CoeffReadCost) + int(evaluator&lt;DiagonalType&gt;::CoeffReadCost),</div>
<div class="line"><a name="l00837"></a><span class="lineno">  837</span>&#160; </div>
<div class="line"><a name="l00838"></a><span class="lineno">  838</span>&#160;    MatrixFlags = evaluator&lt;MatrixType&gt;::Flags,</div>
<div class="line"><a name="l00839"></a><span class="lineno">  839</span>&#160;    DiagFlags = evaluator&lt;DiagonalType&gt;::Flags,</div>
<div class="line"><a name="l00840"></a><span class="lineno">  840</span>&#160; </div>
<div class="line"><a name="l00841"></a><span class="lineno">  841</span>&#160;    StorageOrder_ = (Derived::MaxRowsAtCompileTime==1 &amp;&amp; Derived::MaxColsAtCompileTime!=1) ? <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a></div>
<div class="line"><a name="l00842"></a><span class="lineno">  842</span>&#160;                  : (Derived::MaxColsAtCompileTime==1 &amp;&amp; Derived::MaxRowsAtCompileTime!=1) ? <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a></div>
<div class="line"><a name="l00843"></a><span class="lineno">  843</span>&#160;                  : MatrixFlags &amp; <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a> ? <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a> : <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>,</div>
<div class="line"><a name="l00844"></a><span class="lineno">  844</span>&#160;    SameStorageOrder_ = StorageOrder_ == (MatrixFlags &amp; <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a> ? <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a> : <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>),</div>
<div class="line"><a name="l00845"></a><span class="lineno">  845</span>&#160; </div>
<div class="line"><a name="l00846"></a><span class="lineno">  846</span>&#160;    ScalarAccessOnDiag_ =  !((<span class="keywordtype">int</span>(StorageOrder_) == <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a> &amp;&amp; int(ProductOrder) == <a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba21b30a61e9cb10c967aec17567804007">OnTheLeft</a>)</div>
<div class="line"><a name="l00847"></a><span class="lineno">  847</span>&#160;                           ||(<span class="keywordtype">int</span>(StorageOrder_) == <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a> &amp;&amp; int(ProductOrder) == <a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba329fc3a54ceb2b6e0e73b400998b8a82">OnTheRight</a>)),</div>
<div class="line"><a name="l00848"></a><span class="lineno">  848</span>&#160;    SameTypes_ = is_same&lt;typename MatrixType::Scalar, typename DiagonalType::Scalar&gt;::value,</div>
<div class="line"><a name="l00849"></a><span class="lineno">  849</span>&#160;    <span class="comment">// FIXME currently we need same types, but in the future the next rule should be the one</span></div>
<div class="line"><a name="l00850"></a><span class="lineno">  850</span>&#160;    <span class="comment">//Vectorizable_ = bool(int(MatrixFlags)&amp;PacketAccessBit) &amp;&amp; ((!_PacketOnDiag) || (SameTypes_ &amp;&amp; bool(int(DiagFlags)&amp;PacketAccessBit))),</span></div>
<div class="line"><a name="l00851"></a><span class="lineno">  851</span>&#160;    Vectorizable_ =   bool(<span class="keywordtype">int</span>(MatrixFlags)&amp;<a class="code" href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">PacketAccessBit</a>)</div>
<div class="line"><a name="l00852"></a><span class="lineno">  852</span>&#160;                  &amp;&amp;  SameTypes_</div>
<div class="line"><a name="l00853"></a><span class="lineno">  853</span>&#160;                  &amp;&amp; (SameStorageOrder_ || (MatrixFlags&amp;<a class="code" href="group__flags.html#ga4b983a15d57cd55806df618ac544d09e">LinearAccessBit</a>)==<a class="code" href="group__flags.html#ga4b983a15d57cd55806df618ac544d09e">LinearAccessBit</a>)</div>
<div class="line"><a name="l00854"></a><span class="lineno">  854</span>&#160;                  &amp;&amp; (ScalarAccessOnDiag_ || (bool(<span class="keywordtype">int</span>(DiagFlags)&amp;<a class="code" href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">PacketAccessBit</a>))),</div>
<div class="line"><a name="l00855"></a><span class="lineno">  855</span>&#160;    LinearAccessMask_ = (MatrixType::RowsAtCompileTime==1 || MatrixType::ColsAtCompileTime==1) ? <a class="code" href="group__flags.html#ga4b983a15d57cd55806df618ac544d09e">LinearAccessBit</a> : 0,</div>
<div class="line"><a name="l00856"></a><span class="lineno">  856</span>&#160;    Flags = ((HereditaryBits|LinearAccessMask_) &amp; (<span class="keywordtype">unsigned</span> int)(MatrixFlags)) | (Vectorizable_ ? <a class="code" href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">PacketAccessBit</a> : 0),</div>
<div class="line"><a name="l00857"></a><span class="lineno">  857</span>&#160;    Alignment = evaluator&lt;MatrixType&gt;::Alignment,</div>
<div class="line"><a name="l00858"></a><span class="lineno">  858</span>&#160; </div>
<div class="line"><a name="l00859"></a><span class="lineno">  859</span>&#160;    AsScalarProduct =     (DiagonalType::SizeAtCompileTime==1)</div>
<div class="line"><a name="l00860"></a><span class="lineno">  860</span>&#160;                      ||  (DiagonalType::SizeAtCompileTime==<a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a> &amp;&amp; MatrixType::RowsAtCompileTime==1 &amp;&amp; ProductOrder==<a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba21b30a61e9cb10c967aec17567804007">OnTheLeft</a>)</div>
<div class="line"><a name="l00861"></a><span class="lineno">  861</span>&#160;                      ||  (DiagonalType::SizeAtCompileTime==<a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a> &amp;&amp; MatrixType::ColsAtCompileTime==1 &amp;&amp; ProductOrder==<a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba329fc3a54ceb2b6e0e73b400998b8a82">OnTheRight</a>)</div>
<div class="line"><a name="l00862"></a><span class="lineno">  862</span>&#160;  };</div>
<div class="line"><a name="l00863"></a><span class="lineno">  863</span>&#160; </div>
<div class="line"><a name="l00864"></a><span class="lineno">  864</span>&#160;  EIGEN_DEVICE_FUNC diagonal_product_evaluator_base(<span class="keyword">const</span> MatrixType &amp;mat, <span class="keyword">const</span> DiagonalType &amp;diag)</div>
<div class="line"><a name="l00865"></a><span class="lineno">  865</span>&#160;    : m_diagImpl(diag), m_matImpl(mat)</div>
<div class="line"><a name="l00866"></a><span class="lineno">  866</span>&#160;  {</div>
<div class="line"><a name="l00867"></a><span class="lineno">  867</span>&#160;    EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits&lt;Scalar&gt;::MulCost);</div>
<div class="line"><a name="l00868"></a><span class="lineno">  868</span>&#160;    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);</div>
<div class="line"><a name="l00869"></a><span class="lineno">  869</span>&#160;  }</div>
<div class="line"><a name="l00870"></a><span class="lineno">  870</span>&#160; </div>
<div class="line"><a name="l00871"></a><span class="lineno">  871</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar coeff(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx)<span class="keyword"> const</span></div>
<div class="line"><a name="l00872"></a><span class="lineno">  872</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00873"></a><span class="lineno">  873</span>&#160;    <span class="keywordflow">if</span>(AsScalarProduct)</div>
<div class="line"><a name="l00874"></a><span class="lineno">  874</span>&#160;      <span class="keywordflow">return</span> m_diagImpl.coeff(0) * m_matImpl.coeff(idx);</div>
<div class="line"><a name="l00875"></a><span class="lineno">  875</span>&#160;    <span class="keywordflow">else</span></div>
<div class="line"><a name="l00876"></a><span class="lineno">  876</span>&#160;      <span class="keywordflow">return</span> m_diagImpl.coeff(idx) * m_matImpl.coeff(idx);</div>
<div class="line"><a name="l00877"></a><span class="lineno">  877</span>&#160;  }</div>
<div class="line"><a name="l00878"></a><span class="lineno">  878</span>&#160; </div>
<div class="line"><a name="l00879"></a><span class="lineno">  879</span>&#160;<span class="keyword">protected</span>:</div>
<div class="line"><a name="l00880"></a><span class="lineno">  880</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> LoadMode,<span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00881"></a><span class="lineno">  881</span>&#160;  EIGEN_STRONG_INLINE PacketType packet_impl(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> <span class="keywordtype">id</span>, internal::true_type)<span class="keyword"> const</span></div>
<div class="line"><a name="l00882"></a><span class="lineno">  882</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00883"></a><span class="lineno">  883</span>&#160;    <span class="keywordflow">return</span> internal::pmul(m_matImpl.template packet&lt;LoadMode,PacketType&gt;(row, col),</div>
<div class="line"><a name="l00884"></a><span class="lineno">  884</span>&#160;                          internal::pset1&lt;PacketType&gt;(m_diagImpl.coeff(<span class="keywordtype">id</span>)));</div>
<div class="line"><a name="l00885"></a><span class="lineno">  885</span>&#160;  }</div>
<div class="line"><a name="l00886"></a><span class="lineno">  886</span>&#160; </div>
<div class="line"><a name="l00887"></a><span class="lineno">  887</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> LoadMode,<span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00888"></a><span class="lineno">  888</span>&#160;  EIGEN_STRONG_INLINE PacketType packet_impl(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> <span class="keywordtype">id</span>, internal::false_type)<span class="keyword"> const</span></div>
<div class="line"><a name="l00889"></a><span class="lineno">  889</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00890"></a><span class="lineno">  890</span>&#160;    <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00891"></a><span class="lineno">  891</span>&#160;      InnerSize = (MatrixType::Flags &amp; <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>) ? MatrixType::ColsAtCompileTime : MatrixType::RowsAtCompileTime,</div>
<div class="line"><a name="l00892"></a><span class="lineno">  892</span>&#160;      DiagonalPacketLoadMode = plain_enum_min(LoadMode,((InnerSize%16) == 0) ? int(<a class="code" href="group__enums.html#gga45fe06e29902b7a2773de05ba27b47a1ad0b140cd97bc74365b51843d28379655">Aligned16</a>) : int(evaluator&lt;DiagonalType&gt;::Alignment)) <span class="comment">// FIXME hardcoded 16!!</span></div>
<div class="line"><a name="l00893"></a><span class="lineno">  893</span>&#160;    };</div>
<div class="line"><a name="l00894"></a><span class="lineno">  894</span>&#160;    <span class="keywordflow">return</span> internal::pmul(m_matImpl.template packet&lt;LoadMode,PacketType&gt;(row, col),</div>
<div class="line"><a name="l00895"></a><span class="lineno">  895</span>&#160;                          m_diagImpl.template packet&lt;DiagonalPacketLoadMode,PacketType&gt;(<span class="keywordtype">id</span>));</div>
<div class="line"><a name="l00896"></a><span class="lineno">  896</span>&#160;  }</div>
<div class="line"><a name="l00897"></a><span class="lineno">  897</span>&#160; </div>
<div class="line"><a name="l00898"></a><span class="lineno">  898</span>&#160;  evaluator&lt;DiagonalType&gt; m_diagImpl;</div>
<div class="line"><a name="l00899"></a><span class="lineno">  899</span>&#160;  evaluator&lt;MatrixType&gt;   m_matImpl;</div>
<div class="line"><a name="l00900"></a><span class="lineno">  900</span>&#160;};</div>
<div class="line"><a name="l00901"></a><span class="lineno">  901</span>&#160; </div>
<div class="line"><a name="l00902"></a><span class="lineno">  902</span>&#160;<span class="comment">// diagonal * dense</span></div>
<div class="line"><a name="l00903"></a><span class="lineno">  903</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductKind, <span class="keywordtype">int</span> ProductTag&gt;</div>
<div class="line"><a name="l00904"></a><span class="lineno">  904</span>&#160;<span class="keyword">struct </span>product_evaluator&lt;Product&lt;Lhs, Rhs, ProductKind&gt;, ProductTag, DiagonalShape, DenseShape&gt;</div>
<div class="line"><a name="l00905"></a><span class="lineno">  905</span>&#160;  : diagonal_product_evaluator_base&lt;Rhs, typename Lhs::DiagonalVectorType, Product&lt;Lhs, Rhs, LazyProduct&gt;, OnTheLeft&gt;</div>
<div class="line"><a name="l00906"></a><span class="lineno">  906</span>&#160;{</div>
<div class="line"><a name="l00907"></a><span class="lineno">  907</span>&#160;  <span class="keyword">typedef</span> diagonal_product_evaluator_base&lt;Rhs, typename Lhs::DiagonalVectorType, Product&lt;Lhs, Rhs, LazyProduct&gt;, <a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba21b30a61e9cb10c967aec17567804007">OnTheLeft</a>&gt; Base;</div>
<div class="line"><a name="l00908"></a><span class="lineno">  908</span>&#160;  <span class="keyword">using</span> Base::m_diagImpl;</div>
<div class="line"><a name="l00909"></a><span class="lineno">  909</span>&#160;  <span class="keyword">using</span> Base::m_matImpl;</div>
<div class="line"><a name="l00910"></a><span class="lineno">  910</span>&#160;  <span class="keyword">using</span> Base::coeff;</div>
<div class="line"><a name="l00911"></a><span class="lineno">  911</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Base::Scalar Scalar;</div>
<div class="line"><a name="l00912"></a><span class="lineno">  912</span>&#160; </div>
<div class="line"><a name="l00913"></a><span class="lineno">  913</span>&#160;  <span class="keyword">typedef</span> Product&lt;Lhs, Rhs, ProductKind&gt; XprType;</div>
<div class="line"><a name="l00914"></a><span class="lineno">  914</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::PlainObject PlainObject;</div>
<div class="line"><a name="l00915"></a><span class="lineno">  915</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::DiagonalVectorType DiagonalType;</div>
<div class="line"><a name="l00916"></a><span class="lineno">  916</span>&#160; </div>
<div class="line"><a name="l00917"></a><span class="lineno">  917</span>&#160; </div>
<div class="line"><a name="l00918"></a><span class="lineno">  918</span>&#160;  <span class="keyword">enum</span> { StorageOrder = Base::StorageOrder_ };</div>
<div class="line"><a name="l00919"></a><span class="lineno">  919</span>&#160; </div>
<div class="line"><a name="l00920"></a><span class="lineno">  920</span>&#160;  EIGEN_DEVICE_FUNC <span class="keyword">explicit</span> product_evaluator(<span class="keyword">const</span> XprType&amp; xpr)</div>
<div class="line"><a name="l00921"></a><span class="lineno">  921</span>&#160;    : Base(xpr.rhs(), xpr.lhs().diagonal())</div>
<div class="line"><a name="l00922"></a><span class="lineno">  922</span>&#160;  {</div>
<div class="line"><a name="l00923"></a><span class="lineno">  923</span>&#160;  }</div>
<div class="line"><a name="l00924"></a><span class="lineno">  924</span>&#160; </div>
<div class="line"><a name="l00925"></a><span class="lineno">  925</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar coeff(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00926"></a><span class="lineno">  926</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00927"></a><span class="lineno">  927</span>&#160;    <span class="keywordflow">return</span> m_diagImpl.coeff(row) * m_matImpl.coeff(row, col);</div>
<div class="line"><a name="l00928"></a><span class="lineno">  928</span>&#160;  }</div>
<div class="line"><a name="l00929"></a><span class="lineno">  929</span>&#160; </div>
<div class="line"><a name="l00930"></a><span class="lineno">  930</span>&#160;<span class="preprocessor">#ifndef EIGEN_GPUCC</span></div>
<div class="line"><a name="l00931"></a><span class="lineno">  931</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> LoadMode,<span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00932"></a><span class="lineno">  932</span>&#160;  EIGEN_STRONG_INLINE PacketType packet(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00933"></a><span class="lineno">  933</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00934"></a><span class="lineno">  934</span>&#160;    <span class="comment">// FIXME: NVCC used to complain about the template keyword, but we have to check whether this is still the case.</span></div>
<div class="line"><a name="l00935"></a><span class="lineno">  935</span>&#160;    <span class="comment">// See also similar calls below.</span></div>
<div class="line"><a name="l00936"></a><span class="lineno">  936</span>&#160;    <span class="keywordflow">return</span> this-&gt;<span class="keyword">template</span> packet_impl&lt;LoadMode,PacketType&gt;(row,col, row,</div>
<div class="line"><a name="l00937"></a><span class="lineno">  937</span>&#160;                                 std::conditional_t&lt;<span class="keywordtype">int</span>(StorageOrder)==<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a>, internal::true_type, internal::false_type&gt;());</div>
<div class="line"><a name="l00938"></a><span class="lineno">  938</span>&#160;  }</div>
<div class="line"><a name="l00939"></a><span class="lineno">  939</span>&#160; </div>
<div class="line"><a name="l00940"></a><span class="lineno">  940</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> LoadMode,<span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00941"></a><span class="lineno">  941</span>&#160;  EIGEN_STRONG_INLINE PacketType packet(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx)<span class="keyword"> const</span></div>
<div class="line"><a name="l00942"></a><span class="lineno">  942</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00943"></a><span class="lineno">  943</span>&#160;    <span class="keywordflow">return</span> packet&lt;LoadMode,PacketType&gt;(<span class="keywordtype">int</span>(StorageOrder)==<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>?idx:0,<span class="keywordtype">int</span>(StorageOrder)==<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>?0:idx);</div>
<div class="line"><a name="l00944"></a><span class="lineno">  944</span>&#160;  }</div>
<div class="line"><a name="l00945"></a><span class="lineno">  945</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00946"></a><span class="lineno">  946</span>&#160;};</div>
<div class="line"><a name="l00947"></a><span class="lineno">  947</span>&#160; </div>
<div class="line"><a name="l00948"></a><span class="lineno">  948</span>&#160;<span class="comment">// dense * diagonal</span></div>
<div class="line"><a name="l00949"></a><span class="lineno">  949</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductKind, <span class="keywordtype">int</span> ProductTag&gt;</div>
<div class="line"><a name="l00950"></a><span class="lineno">  950</span>&#160;<span class="keyword">struct </span>product_evaluator&lt;Product&lt;Lhs, Rhs, ProductKind&gt;, ProductTag, DenseShape, DiagonalShape&gt;</div>
<div class="line"><a name="l00951"></a><span class="lineno">  951</span>&#160;  : diagonal_product_evaluator_base&lt;Lhs, typename Rhs::DiagonalVectorType, Product&lt;Lhs, Rhs, LazyProduct&gt;, <a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba329fc3a54ceb2b6e0e73b400998b8a82">OnTheRight</a>&gt;</div>
<div class="line"><a name="l00952"></a><span class="lineno">  952</span>&#160;{</div>
<div class="line"><a name="l00953"></a><span class="lineno">  953</span>&#160;  <span class="keyword">typedef</span> diagonal_product_evaluator_base&lt;Lhs, typename Rhs::DiagonalVectorType, Product&lt;Lhs, Rhs, LazyProduct&gt;, <a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba329fc3a54ceb2b6e0e73b400998b8a82">OnTheRight</a>&gt; Base;</div>
<div class="line"><a name="l00954"></a><span class="lineno">  954</span>&#160;  <span class="keyword">using</span> Base::m_diagImpl;</div>
<div class="line"><a name="l00955"></a><span class="lineno">  955</span>&#160;  <span class="keyword">using</span> Base::m_matImpl;</div>
<div class="line"><a name="l00956"></a><span class="lineno">  956</span>&#160;  <span class="keyword">using</span> Base::coeff;</div>
<div class="line"><a name="l00957"></a><span class="lineno">  957</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Base::Scalar Scalar;</div>
<div class="line"><a name="l00958"></a><span class="lineno">  958</span>&#160; </div>
<div class="line"><a name="l00959"></a><span class="lineno">  959</span>&#160;  <span class="keyword">typedef</span> Product&lt;Lhs, Rhs, ProductKind&gt; XprType;</div>
<div class="line"><a name="l00960"></a><span class="lineno">  960</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::PlainObject PlainObject;</div>
<div class="line"><a name="l00961"></a><span class="lineno">  961</span>&#160; </div>
<div class="line"><a name="l00962"></a><span class="lineno">  962</span>&#160;  <span class="keyword">enum</span> { StorageOrder = Base::StorageOrder_ };</div>
<div class="line"><a name="l00963"></a><span class="lineno">  963</span>&#160; </div>
<div class="line"><a name="l00964"></a><span class="lineno">  964</span>&#160;  EIGEN_DEVICE_FUNC <span class="keyword">explicit</span> product_evaluator(<span class="keyword">const</span> XprType&amp; xpr)</div>
<div class="line"><a name="l00965"></a><span class="lineno">  965</span>&#160;    : Base(xpr.lhs(), xpr.rhs().diagonal())</div>
<div class="line"><a name="l00966"></a><span class="lineno">  966</span>&#160;  {</div>
<div class="line"><a name="l00967"></a><span class="lineno">  967</span>&#160;  }</div>
<div class="line"><a name="l00968"></a><span class="lineno">  968</span>&#160; </div>
<div class="line"><a name="l00969"></a><span class="lineno">  969</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar coeff(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00970"></a><span class="lineno">  970</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00971"></a><span class="lineno">  971</span>&#160;    <span class="keywordflow">return</span> m_matImpl.coeff(row, col) * m_diagImpl.coeff(col);</div>
<div class="line"><a name="l00972"></a><span class="lineno">  972</span>&#160;  }</div>
<div class="line"><a name="l00973"></a><span class="lineno">  973</span>&#160; </div>
<div class="line"><a name="l00974"></a><span class="lineno">  974</span>&#160;<span class="preprocessor">#ifndef EIGEN_GPUCC</span></div>
<div class="line"><a name="l00975"></a><span class="lineno">  975</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> LoadMode,<span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00976"></a><span class="lineno">  976</span>&#160;  EIGEN_STRONG_INLINE PacketType packet(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00977"></a><span class="lineno">  977</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00978"></a><span class="lineno">  978</span>&#160;    <span class="keywordflow">return</span> this-&gt;<span class="keyword">template</span> packet_impl&lt;LoadMode,PacketType&gt;(row,col, col,</div>
<div class="line"><a name="l00979"></a><span class="lineno">  979</span>&#160;                                 std::conditional_t&lt;<span class="keywordtype">int</span>(StorageOrder)==<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>, internal::true_type, internal::false_type&gt;());</div>
<div class="line"><a name="l00980"></a><span class="lineno">  980</span>&#160;  }</div>
<div class="line"><a name="l00981"></a><span class="lineno">  981</span>&#160; </div>
<div class="line"><a name="l00982"></a><span class="lineno">  982</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> LoadMode,<span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00983"></a><span class="lineno">  983</span>&#160;  EIGEN_STRONG_INLINE PacketType packet(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx)<span class="keyword"> const</span></div>
<div class="line"><a name="l00984"></a><span class="lineno">  984</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00985"></a><span class="lineno">  985</span>&#160;    <span class="keywordflow">return</span> packet&lt;LoadMode,PacketType&gt;(<span class="keywordtype">int</span>(StorageOrder)==<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>?idx:0,<span class="keywordtype">int</span>(StorageOrder)==<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>?0:idx);</div>
<div class="line"><a name="l00986"></a><span class="lineno">  986</span>&#160;  }</div>
<div class="line"><a name="l00987"></a><span class="lineno">  987</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00988"></a><span class="lineno">  988</span>&#160;};</div>
<div class="line"><a name="l00989"></a><span class="lineno">  989</span>&#160; </div>
<div class="line"><a name="l00990"></a><span class="lineno">  990</span>&#160;<span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00991"></a><span class="lineno">  991</span>&#160;<span class="comment">* Products with permutation matrices</span></div>
<div class="line"><a name="l00992"></a><span class="lineno">  992</span>&#160;<span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00993"></a><span class="lineno">  993</span>&#160; </div>
<div class="line"><a name="l00999"></a><span class="lineno">  999</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> ExpressionType, <span class="keywordtype">int</span> S<span class="keywordtype">id</span>e, <span class="keywordtype">bool</span> Transposed, <span class="keyword">typename</span> ExpressionShape&gt;</div>
<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160;<span class="keyword">struct </span>permutation_matrix_product;</div>
<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160; </div>
<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> ExpressionType, <span class="keywordtype">int</span> S<span class="keywordtype">id</span>e, <span class="keywordtype">bool</span> Transposed&gt;</div>
<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160;<span class="keyword">struct </span>permutation_matrix_product&lt;ExpressionType, Side, Transposed, DenseShape&gt;</div>
<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160;{</div>
<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> nested_eval&lt;ExpressionType, 1&gt;::type MatrixType;</div>
<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160;    <span class="keyword">typedef</span> remove_all_t&lt;MatrixType&gt; MatrixTypeCleaned;</div>
<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160; </div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest, <span class="keyword">typename</span> PermutationType&gt;</div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160;    <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Dest&amp; dst, <span class="keyword">const</span> PermutationType&amp; perm, <span class="keyword">const</span> ExpressionType&amp; xpr)</div>
<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160;    {</div>
<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160;      MatrixType mat(xpr);</div>
<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160;      <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> n = Side==<a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba21b30a61e9cb10c967aec17567804007">OnTheLeft</a> ? mat.rows() : mat.cols();</div>
<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160;      <span class="comment">// FIXME we need an is_same for expression that is not sensitive to constness. For instance</span></div>
<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160;      <span class="comment">// is_same_xpr&lt;Block&lt;const Matrix&gt;, Block&lt;Matrix&gt; &gt;::value should be true.</span></div>
<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160;      <span class="comment">//if(is_same&lt;MatrixTypeCleaned,Dest&gt;::value &amp;&amp; extract_data(dst) == extract_data(mat))</span></div>
<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160;      <span class="keywordflow">if</span>(is_same_dense(dst, mat))</div>
<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160;      {</div>
<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>&#160;        <span class="comment">// apply the permutation inplace</span></div>
<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160;        Matrix&lt;bool,PermutationType::RowsAtCompileTime,1,0,PermutationType::MaxRowsAtCompileTime&gt; mask(perm.size());</div>
<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160;        mask.fill(<span class="keyword">false</span>);</div>
<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160;        <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> r = 0;</div>
<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>&#160;        <span class="keywordflow">while</span>(r &lt; perm.size())</div>
<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160;        {</div>
<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160;          <span class="comment">// search for the next seed</span></div>
<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160;          <span class="keywordflow">while</span>(r&lt;perm.size() &amp;&amp; mask[r]) r++;</div>
<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160;          <span class="keywordflow">if</span>(r&gt;=perm.size())</div>
<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160;            <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160;          <span class="comment">// we got one, let&#39;s follow it until we are back to the seed</span></div>
<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160;          <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> k0 = r++;</div>
<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160;          <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> kPrev = k0;</div>
<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160;          mask.coeffRef(k0) = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160;          <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> k=perm.indices().coeff(k0); k!=k0; k=perm.indices().coeff(k))</div>
<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160;          {</div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160;                  Block&lt;Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime&gt;(dst, k)</div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160;            .swap(Block&lt;Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime&gt;</div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160;                       (dst,((Side==<a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba21b30a61e9cb10c967aec17567804007">OnTheLeft</a>) ^ Transposed) ? k0 : kPrev));</div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160; </div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160;            mask.coeffRef(k) = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160;            kPrev = k;</div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160;          }</div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160;        }</div>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160;      }</div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160;      <span class="keywordflow">else</span></div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160;      {</div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160;        <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = 0; i &lt; n; ++i)</div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>&#160;        {</div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160;          Block&lt;Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime&gt;</div>
<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160;               (dst, ((Side==<a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba21b30a61e9cb10c967aec17567804007">OnTheLeft</a>) ^ Transposed) ? perm.indices().coeff(i) : i)</div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160; </div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160;          =</div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160; </div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160;          Block&lt;const MatrixTypeCleaned,Side==OnTheLeft ? 1 : MatrixTypeCleaned::RowsAtCompileTime,Side==OnTheRight ? 1 : MatrixTypeCleaned::ColsAtCompileTime&gt;</div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160;               (mat, ((Side==<a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba329fc3a54ceb2b6e0e73b400998b8a82">OnTheRight</a>) ^ Transposed) ? perm.indices().coeff(i) : i);</div>
<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160;        }</div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160;      }</div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160;    }</div>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160;};</div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160; </div>
<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag, <span class="keyword">typename</span> MatrixShape&gt;</div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs, Rhs, PermutationShape, MatrixShape, ProductTag&gt;</div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160;{</div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160;  {</div>
<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160;    permutation_matrix_product&lt;Rhs, OnTheLeft, false, MatrixShape&gt;::run(dst, lhs, rhs);</div>
<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160;  }</div>
<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160;};</div>
<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160; </div>
<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag, <span class="keyword">typename</span> MatrixShape&gt;</div>
<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs, Rhs, MatrixShape, PermutationShape, ProductTag&gt;</div>
<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160;{</div>
<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160;  {</div>
<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160;    permutation_matrix_product&lt;Lhs, OnTheRight, false, MatrixShape&gt;::run(dst, rhs, lhs);</div>
<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160;  }</div>
<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160;};</div>
<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160; </div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag, <span class="keyword">typename</span> MatrixShape&gt;</div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Inverse&lt;Lhs&gt;, Rhs, PermutationShape, MatrixShape, ProductTag&gt;</div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160;{</div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dest&amp; dst, <span class="keyword">const</span> Inverse&lt;Lhs&gt;&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160;  {</div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160;    permutation_matrix_product&lt;Rhs, OnTheLeft, true, MatrixShape&gt;::run(dst, lhs.nestedExpression(), rhs);</div>
<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160;  }</div>
<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>&#160;};</div>
<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160; </div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag, <span class="keyword">typename</span> MatrixShape&gt;</div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs, Inverse&lt;Rhs&gt;, MatrixShape, PermutationShape, ProductTag&gt;</div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160;{</div>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Inverse&lt;Rhs&gt;&amp; rhs)</div>
<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160;  {</div>
<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>&#160;    permutation_matrix_product&lt;Lhs, OnTheRight, true, MatrixShape&gt;::run(dst, rhs.nestedExpression(), lhs);</div>
<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>&#160;  }</div>
<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>&#160;};</div>
<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>&#160; </div>
<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>&#160; </div>
<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160;<span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>&#160;<span class="comment">* Products with transpositions matrices</span></div>
<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160;<span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>&#160; </div>
<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>&#160;<span class="comment">// FIXME could we unify Transpositions and Permutation into a single &quot;shape&quot;??</span></div>
<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>&#160; </div>
<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> ExpressionType, <span class="keywordtype">int</span> S<span class="keywordtype">id</span>e, <span class="keywordtype">bool</span> Transposed, <span class="keyword">typename</span> ExpressionShape&gt;</div>
<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>&#160;<span class="keyword">struct </span>transposition_matrix_product</div>
<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160;{</div>
<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> nested_eval&lt;ExpressionType, 1&gt;::type MatrixType;</div>
<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>&#160;  <span class="keyword">typedef</span> remove_all_t&lt;MatrixType&gt; MatrixTypeCleaned;</div>
<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160; </div>
<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest, <span class="keyword">typename</span> TranspositionType&gt;</div>
<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Dest&amp; dst, <span class="keyword">const</span> TranspositionType&amp; tr, <span class="keyword">const</span> ExpressionType&amp; xpr)</div>
<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>&#160;  {</div>
<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>&#160;    MatrixType mat(xpr);</div>
<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> TranspositionType::StorageIndex StorageIndex;</div>
<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> size = tr.size();</div>
<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160;    StorageIndex j = 0;</div>
<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160; </div>
<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160;    <span class="keywordflow">if</span>(!is_same_dense(dst,mat))</div>
<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>&#160;      dst = mat;</div>
<div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>&#160; </div>
<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>&#160;    <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> k=(Transposed?size-1:0) ; Transposed?k&gt;=0:k&lt;size ; Transposed?--k:++k)</div>
<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>&#160;      <span class="keywordflow">if</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(j=tr.coeff(k))!=k)</div>
<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160;      {</div>
<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160;        <span class="keywordflow">if</span>(Side==<a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba21b30a61e9cb10c967aec17567804007">OnTheLeft</a>)        dst.row(k).swap(dst.row(j));</div>
<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>&#160;        <span class="keywordflow">else</span> <span class="keywordflow">if</span>(Side==<a class="code" href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba329fc3a54ceb2b6e0e73b400998b8a82">OnTheRight</a>)  dst.col(k).swap(dst.col(j));</div>
<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>&#160;      }</div>
<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>&#160;  }</div>
<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>&#160;};</div>
<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>&#160; </div>
<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag, <span class="keyword">typename</span> MatrixShape&gt;</div>
<div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs, Rhs, TranspositionsShape, MatrixShape, ProductTag&gt;</div>
<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>&#160;{</div>
<div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>&#160;  {</div>
<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>&#160;    transposition_matrix_product&lt;Rhs, OnTheLeft, false, MatrixShape&gt;::run(dst, lhs, rhs);</div>
<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>&#160;  }</div>
<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>&#160;};</div>
<div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>&#160; </div>
<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag, <span class="keyword">typename</span> MatrixShape&gt;</div>
<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs, Rhs, MatrixShape, TranspositionsShape, ProductTag&gt;</div>
<div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>&#160;{</div>
<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160;  {</div>
<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160;    transposition_matrix_product&lt;Lhs, OnTheRight, false, MatrixShape&gt;::run(dst, rhs, lhs);</div>
<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160;  }</div>
<div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>&#160;};</div>
<div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>&#160; </div>
<div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>&#160; </div>
<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag, <span class="keyword">typename</span> MatrixShape&gt;</div>
<div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Transpose&lt;Lhs&gt;, Rhs, TranspositionsShape, MatrixShape, ProductTag&gt;</div>
<div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160;{</div>
<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dest&amp; dst, <span class="keyword">const</span> Transpose&lt;Lhs&gt;&amp; lhs, <span class="keyword">const</span> Rhs&amp; rhs)</div>
<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160;  {</div>
<div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>&#160;    transposition_matrix_product&lt;Rhs, OnTheLeft, true, MatrixShape&gt;::run(dst, lhs.nestedExpression(), rhs);</div>
<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160;  }</div>
<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>&#160;};</div>
<div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>&#160; </div>
<div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag, <span class="keyword">typename</span> MatrixShape&gt;</div>
<div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs, Transpose&lt;Rhs&gt;, MatrixShape, TranspositionsShape, ProductTag&gt;</div>
<div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>&#160;{</div>
<div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> evalTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> Transpose&lt;Rhs&gt;&amp; rhs)</div>
<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>&#160;  {</div>
<div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>&#160;    transposition_matrix_product&lt;Lhs, OnTheRight, true, MatrixShape&gt;::run(dst, rhs.nestedExpression(), lhs);</div>
<div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>&#160;  }</div>
<div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>&#160;};</div>
<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>&#160; </div>
<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>&#160;} <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>&#160; </div>
<div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>&#160;} <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>&#160; </div>
<div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>&#160;<span class="preprocessor">#endif </span><span class="comment">// EIGEN_PRODUCT_EVALUATORS_H</span></div>
<div class="ttc" id="agroup__enums_html_gga45fe06e29902b7a2773de05ba27b47a1ad0b140cd97bc74365b51843d28379655"><div class="ttname"><a href="group__enums.html#gga45fe06e29902b7a2773de05ba27b47a1ad0b140cd97bc74365b51843d28379655">Eigen::Aligned16</a></div><div class="ttdeci">@ Aligned16</div><div class="ttdef"><b>Definition:</b> Constants.h:237</div></div>
<div class="ttc" id="agroup__enums_html_ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62"><div class="ttname"><a href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">Eigen::ColMajor</a></div><div class="ttdeci">@ ColMajor</div><div class="ttdef"><b>Definition:</b> Constants.h:321</div></div>
<div class="ttc" id="agroup__enums_html_ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f"><div class="ttname"><a href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">Eigen::RowMajor</a></div><div class="ttdeci">@ RowMajor</div><div class="ttdef"><b>Definition:</b> Constants.h:323</div></div>
<div class="ttc" id="agroup__enums_html_ggac22de43beeac7a78b384f99bed5cee0ba21b30a61e9cb10c967aec17567804007"><div class="ttname"><a href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba21b30a61e9cb10c967aec17567804007">Eigen::OnTheLeft</a></div><div class="ttdeci">@ OnTheLeft</div><div class="ttdef"><b>Definition:</b> Constants.h:334</div></div>
<div class="ttc" id="agroup__enums_html_ggac22de43beeac7a78b384f99bed5cee0ba329fc3a54ceb2b6e0e73b400998b8a82"><div class="ttname"><a href="group__enums.html#ggac22de43beeac7a78b384f99bed5cee0ba329fc3a54ceb2b6e0e73b400998b8a82">Eigen::OnTheRight</a></div><div class="ttdeci">@ OnTheRight</div><div class="ttdef"><b>Definition:</b> Constants.h:336</div></div>
<div class="ttc" id="agroup__flags_html_ga020f88dc24a123b9afbd756c4b220db2"><div class="ttname"><a href="group__flags.html#ga020f88dc24a123b9afbd756c4b220db2">Eigen::ActualPacketAccessBit</a></div><div class="ttdeci">const unsigned int ActualPacketAccessBit</div><div class="ttdef"><b>Definition:</b> Constants.h:107</div></div>
<div class="ttc" id="agroup__flags_html_ga1a306a438e1ab074e8be59512e887b9f"><div class="ttname"><a href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">Eigen::PacketAccessBit</a></div><div class="ttdeci">const unsigned int PacketAccessBit</div><div class="ttdef"><b>Definition:</b> Constants.h:96</div></div>
<div class="ttc" id="agroup__flags_html_ga4b983a15d57cd55806df618ac544d09e"><div class="ttname"><a href="group__flags.html#ga4b983a15d57cd55806df618ac544d09e">Eigen::LinearAccessBit</a></div><div class="ttdeci">const unsigned int LinearAccessBit</div><div class="ttdef"><b>Definition:</b> Constants.h:132</div></div>
<div class="ttc" id="agroup__flags_html_gaa34e83bae46a8eeae4e69ebe3aaecbed"><div class="ttname"><a href="group__flags.html#gaa34e83bae46a8eeae4e69ebe3aaecbed">Eigen::EvalBeforeNestingBit</a></div><div class="ttdeci">const unsigned int EvalBeforeNestingBit</div><div class="ttdef"><b>Definition:</b> Constants.h:72</div></div>
<div class="ttc" id="agroup__flags_html_gae4f56c2a60bbe4bd2e44c5b19cbe8762"><div class="ttname"><a href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">Eigen::RowMajorBit</a></div><div class="ttdeci">const unsigned int RowMajorBit</div><div class="ttdef"><b>Definition:</b> Constants.h:68</div></div>
<div class="ttc" id="anamespaceEigen_html"><div class="ttname"><a href="namespaceEigen.html">Eigen</a></div><div class="ttdoc">Namespace containing all symbols from the Eigen library.</div><div class="ttdef"><b>Definition:</b> Core:139</div></div>
<div class="ttc" id="anamespaceEigen_html_a3163430a1c13173faffde69016b48aaf"><div class="ttname"><a href="namespaceEigen.html#a3163430a1c13173faffde69016b48aaf">Eigen::HugeCost</a></div><div class="ttdeci">const int HugeCost</div><div class="ttdef"><b>Definition:</b> Constants.h:46</div></div>
<div class="ttc" id="anamespaceEigen_html_a62e77e0933482dafde8fe197d9a2cfde"><div class="ttname"><a href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Eigen::Index</a></div><div class="ttdeci">EIGEN_DEFAULT_DENSE_INDEX_TYPE Index</div><div class="ttdoc">The Index type as used for the API.</div><div class="ttdef"><b>Definition:</b> Meta.h:59</div></div>
<div class="ttc" id="anamespaceEigen_html_ad81fa7195215a0ce30017dfac309f0b2"><div class="ttname"><a href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Eigen::Dynamic</a></div><div class="ttdeci">const int Dynamic</div><div class="ttdef"><b>Definition:</b> Constants.h:24</div></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
  <ul>
    <li class="navelem"><a class="el" href="dir_a62d91f57b5fefafb116d3f5c1ce792a.html">Eigen</a></li><li class="navelem"><a class="el" href="dir_f84311377820247c2dbcf5d6a63ab308.html">src</a></li><li class="navelem"><a class="el" href="dir_c5b8aa1b6d8d74c5127fb52cc05e6083.html">Core</a></li><li class="navelem"><b>ProductEvaluators.h</b></li>
    <li class="footer">Generated on Thu Apr 21 2022 13:07:53 for Eigen by
    <a href="http://www.doxygen.org/index.html">
    <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.9.1 </li>
  </ul>
</div>
</body>
</html>
